Skip to content

Instantly share code, notes, and snippets.

@blakejohnson
Created October 10, 2013 15:39
Show Gist options
  • Save blakejohnson/6920476 to your computer and use it in GitHub Desktop.
Save blakejohnson/6920476 to your computer and use it in GitHub Desktop.
Thresholding vs Soft-averaging --Marcus, Blake, and Colm
Display the source blob
Display the rendered blob
Raw
{
"metadata": {
"language": "Julia",
"name": ""
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "code",
"collapsed": false,
"input": [
"using Distributions, PyPlot, Optim, Calculus"
],
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"Infinite number of calibration samples"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"If we take the number of calibrations to be infinite, then the two recalibrated estimators are unbiased, and we can just compare the variances.\n",
"\n",
"For thresholding, the variance is\n",
"$$\n",
"{1\\over R [ 2 \\Phi(1/\\sigma\\sqrt{2}) - 1]^2} - {\\langle\\sigma_z\\rangle^2\\over R}\n",
"$$\n",
"while for soft averaging the variance is\n",
"$$\n",
"{\\sigma^2\\over R } + {1-\\langle\\sigma_z\\rangle^2\\over R}\n",
"$$\n",
"\n",
"The break-even condition is\n",
"$$\n",
"{1\\over [ 2 \\Phi(1/\\sigma\\sqrt{2}) - 1]^2} = \\sigma^2 + 1\n",
"$$\n",
"which is met when SNR$\\approx1.4$\n",
"\n",
"Graphically,"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"inf_SNRs = linspace(.5,2.5,100);\n",
"plot(inf_SNRs,[1/(2*cdf(Normal(1,sqrt(1/SNR)),0)-1)^2 for SNR in inf_SNRs],\"b-\");\n",
"plot(inf_SNRs,[(1/SNR)+1 for SNR in inf_SNRs],\"r-\");\n",
"xlabel(\"SNR\")\n",
"ylabel(\"Variance\")"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": "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",
"svg": [
"<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n",
"<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n",
" \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n",
"<!-- Created with matplotlib (http://matplotlib.org/) -->\n",
"<svg height=\"398pt\" version=\"1.1\" viewBox=\"0 0 507 398\" width=\"507pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n",
" <defs>\n",
" <style type=\"text/css\">\n",
"*{stroke-linecap:butt;stroke-linejoin:round;}\n",
" </style>\n",
" </defs>\n",
" <g id=\"figure_1\">\n",
" <g id=\"patch_1\">\n",
" <path d=\"\n",
"M0 398.034\n",
"L507.692 398.034\n",
"L507.692 0\n",
"L0 0\n",
"z\n",
"\" style=\"fill:#ffffff;\"/>\n",
" </g>\n",
" <g id=\"axes_1\">\n",
" <g id=\"patch_2\">\n",
" <path d=\"\n",
"M45.5138 358.607\n",
"L491.914 358.607\n",
"L491.914 13.0069\n",
"L45.5138 13.0069\n",
"z\n",
"\" style=\"fill:#ffffff;\"/>\n",
" </g>\n",
" <g id=\"line2d_1\">\n",
" <path clip-path=\"url(#pa3d5fa58af)\" d=\"\n",
"M45.5138 48.5893\n",
"L50.0228 62.5248\n",
"L54.5319 75.4096\n",
"L59.041 87.3572\n",
"L63.5501 98.4656\n",
"L68.0592 108.819\n",
"L72.5683 118.492\n",
"L77.0774 127.548\n",
"L81.5865 136.044\n",
"L86.0956 144.03\n",
"L90.6047 151.549\n",
"L95.1137 158.641\n",
"L99.6228 165.341\n",
"L104.132 171.68\n",
"L108.641 177.686\n",
"L113.15 183.383\n",
"L117.659 188.796\n",
"L122.168 193.944\n",
"L126.677 198.845\n",
"L131.186 203.517\n",
"L135.696 207.976\n",
"L140.205 212.234\n",
"L144.714 216.306\n",
"L149.223 220.202\n",
"L153.732 223.934\n",
"L158.241 227.511\n",
"L162.75 230.943\n",
"L167.259 234.238\n",
"L171.768 237.404\n",
"L176.277 240.448\n",
"L180.786 243.376\n",
"L185.296 246.196\n",
"L189.805 248.912\n",
"L194.314 251.531\n",
"L198.823 254.056\n",
"L203.332 256.494\n",
"L207.841 258.847\n",
"L212.35 261.121\n",
"L216.859 263.319\n",
"L221.368 265.444\n",
"L225.877 267.501\n",
"L230.386 269.492\n",
"L234.896 271.419\n",
"L239.405 273.287\n",
"L243.914 275.097\n",
"L248.423 276.853\n",
"L252.932 278.555\n",
"L257.441 280.208\n",
"L261.95 281.812\n",
"L266.459 283.369\n",
"L270.968 284.883\n",
"L275.477 286.353\n",
"L279.986 287.782\n",
"L284.496 289.172\n",
"L289.005 290.524\n",
"L293.514 291.84\n",
"L298.023 293.12\n",
"L302.532 294.367\n",
"L307.041 295.581\n",
"L311.55 296.763\n",
"L316.059 297.915\n",
"L320.568 299.038\n",
"L325.077 300.133\n",
"L329.586 301.201\n",
"L334.096 302.242\n",
"L338.605 303.258\n",
"L343.114 304.249\n",
"L347.623 305.216\n",
"L352.132 306.161\n",
"L356.641 307.083\n",
"L361.15 307.984\n",
"L365.659 308.863\n",
"L370.168 309.723\n",
"L374.677 310.563\n",
"L379.186 311.384\n",
"L383.696 312.187\n",
"L388.205 312.971\n",
"L392.714 313.739\n",
"L397.223 314.49\n",
"L401.732 315.224\n",
"L406.241 315.943\n",
"L410.75 316.646\n",
"L415.259 317.334\n",
"L419.768 318.008\n",
"L424.277 318.667\n",
"L428.786 319.313\n",
"L433.296 319.946\n",
"L437.805 320.565\n",
"L442.314 321.172\n",
"L446.823 321.767\n",
"L451.332 322.35\n",
"L455.841 322.921\n",
"L460.35 323.481\n",
"L464.859 324.029\n",
"L469.368 324.567\n",
"L473.877 325.095\n",
"L478.386 325.612\n",
"L482.896 326.12\n",
"L487.405 326.617\n",
"L491.914 327.105\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;\"/>\n",
" </g>\n",
" <g id=\"line2d_2\">\n",
" <path clip-path=\"url(#pa3d5fa58af)\" d=\"\n",
"M45.5138 128.207\n",
"L50.0228 137.154\n",
"L54.5319 145.433\n",
"L59.041 153.115\n",
"L63.5501 160.263\n",
"L68.0592 166.93\n",
"L72.5683 173.163\n",
"L77.0774 179.004\n",
"L81.5865 184.488\n",
"L86.0956 189.647\n",
"L90.6047 194.509\n",
"L95.1137 199.099\n",
"L99.6228 203.44\n",
"L104.132 207.55\n",
"L108.641 211.448\n",
"L113.15 215.15\n",
"L117.659 218.671\n",
"L122.168 222.022\n",
"L126.677 225.217\n",
"L131.186 228.266\n",
"L135.696 231.179\n",
"L140.205 233.964\n",
"L144.714 236.63\n",
"L149.223 239.185\n",
"L153.732 241.635\n",
"L158.241 243.986\n",
"L162.75 246.244\n",
"L167.259 248.416\n",
"L171.768 250.505\n",
"L176.277 252.516\n",
"L180.786 254.453\n",
"L185.296 256.322\n",
"L189.805 258.124\n",
"L194.314 259.864\n",
"L198.823 261.545\n",
"L203.332 263.169\n",
"L207.841 264.74\n",
"L212.35 266.26\n",
"L216.859 267.732\n",
"L221.368 269.157\n",
"L225.877 270.539\n",
"L230.386 271.878\n",
"L234.896 273.178\n",
"L239.405 274.439\n",
"L243.914 275.663\n",
"L248.423 276.852\n",
"L252.932 278.008\n",
"L257.441 279.131\n",
"L261.95 280.223\n",
"L266.459 281.286\n",
"L270.968 282.321\n",
"L275.477 283.328\n",
"L279.986 284.309\n",
"L284.496 285.264\n",
"L289.005 286.195\n",
"L293.514 287.103\n",
"L298.023 287.989\n",
"L302.532 288.853\n",
"L307.041 289.696\n",
"L311.55 290.519\n",
"L316.059 291.322\n",
"L320.568 292.107\n",
"L325.077 292.873\n",
"L329.586 293.622\n",
"L334.096 294.354\n",
"L338.605 295.07\n",
"L343.114 295.771\n",
"L347.623 296.455\n",
"L352.132 297.125\n",
"L356.641 297.781\n",
"L361.15 298.423\n",
"L365.659 299.052\n",
"L370.168 299.667\n",
"L374.677 300.27\n",
"L379.186 300.861\n",
"L383.696 301.44\n",
"L388.205 302.007\n",
"L392.714 302.564\n",
"L397.223 303.109\n",
"L401.732 303.644\n",
"L406.241 304.169\n",
"L410.75 304.683\n",
"L415.259 305.189\n",
"L419.768 305.684\n",
"L424.277 306.171\n",
"L428.786 306.649\n",
"L433.296 307.118\n",
"L437.805 307.579\n",
"L442.314 308.031\n",
"L446.823 308.476\n",
"L451.332 308.913\n",
"L455.841 309.342\n",
"L460.35 309.764\n",
"L464.859 310.179\n",
"L469.368 310.587\n",
"L473.877 310.988\n",
"L478.386 311.382\n",
"L482.896 311.77\n",
"L487.405 312.151\n",
"L491.914 312.527\" style=\"fill:none;stroke:#ff0000;stroke-linecap:square;\"/>\n",
" </g>\n",
" <g id=\"matplotlib.axis_1\">\n",
" <g id=\"xtick_1\">\n",
" <g id=\"line2d_3\">\n",
" <defs>\n",
" <path d=\"\n",
"M0 0\n",
"L0 -4\" id=\"m93b0483c22\" style=\"stroke:#000000;stroke-width:0.5;\"/>\n",
" </defs>\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-width:0.5;\" x=\"45.51375\" xlink:href=\"#m93b0483c22\" y=\"358.606875\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_4\">\n",
" <defs>\n",
" <path d=\"\n",
"M0 0\n",
"L0 4\" id=\"m741efc42ff\" style=\"stroke:#000000;stroke-width:0.5;\"/>\n",
" </defs>\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-width:0.5;\" x=\"45.51375\" xlink:href=\"#m741efc42ff\" y=\"13.006875\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_1\">\n",
" <!-- 0.5 -->\n",
" <defs>\n",
" <path d=\"\n",
"M31.7812 66.4062\n",
"Q24.1719 66.4062 20.3281 58.9062\n",
"Q16.5 51.4219 16.5 36.375\n",
"Q16.5 21.3906 20.3281 13.8906\n",
"Q24.1719 6.39062 31.7812 6.39062\n",
"Q39.4531 6.39062 43.2812 13.8906\n",
"Q47.125 21.3906 47.125 36.375\n",
"Q47.125 51.4219 43.2812 58.9062\n",
"Q39.4531 66.4062 31.7812 66.4062\n",
"M31.7812 74.2188\n",
"Q44.0469 74.2188 50.5156 64.5156\n",
"Q56.9844 54.8281 56.9844 36.375\n",
"Q56.9844 17.9688 50.5156 8.26562\n",
"Q44.0469 -1.42188 31.7812 -1.42188\n",
"Q19.5312 -1.42188 13.0625 8.26562\n",
"Q6.59375 17.9688 6.59375 36.375\n",
"Q6.59375 54.8281 13.0625 64.5156\n",
"Q19.5312 74.2188 31.7812 74.2188\" id=\"BitstreamVeraSans-Roman-30\"/>\n",
" <path d=\"\n",
"M10.6875 12.4062\n",
"L21 12.4062\n",
"L21 0\n",
"L10.6875 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-2e\"/>\n",
" <path d=\"\n",
"M10.7969 72.9062\n",
"L49.5156 72.9062\n",
"L49.5156 64.5938\n",
"L19.8281 64.5938\n",
"L19.8281 46.7344\n",
"Q21.9688 47.4688 24.1094 47.8281\n",
"Q26.2656 48.1875 28.4219 48.1875\n",
"Q40.625 48.1875 47.75 41.5\n",
"Q54.8906 34.8125 54.8906 23.3906\n",
"Q54.8906 11.625 47.5625 5.09375\n",
"Q40.2344 -1.42188 26.9062 -1.42188\n",
"Q22.3125 -1.42188 17.5469 -0.640625\n",
"Q12.7969 0.140625 7.71875 1.70312\n",
"L7.71875 11.625\n",
"Q12.1094 9.23438 16.7969 8.0625\n",
"Q21.4844 6.89062 26.7031 6.89062\n",
"Q35.1562 6.89062 40.0781 11.3281\n",
"Q45.0156 15.7656 45.0156 23.3906\n",
"Q45.0156 31 40.0781 35.4375\n",
"Q35.1562 39.8906 26.7031 39.8906\n",
"Q22.75 39.8906 18.8125 39.0156\n",
"Q14.8906 38.1406 10.7969 36.2812\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-35\"/>\n",
" </defs>\n",
" <g transform=\"translate(36.8915625 371.725)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-35\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_2\">\n",
" <g id=\"line2d_5\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-width:0.5;\" x=\"157.11375\" xlink:href=\"#m93b0483c22\" y=\"358.606875\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_6\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-width:0.5;\" x=\"157.11375\" xlink:href=\"#m741efc42ff\" y=\"13.006875\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_2\">\n",
" <!-- 1.0 -->\n",
" <defs>\n",
" <path d=\"\n",
"M12.4062 8.29688\n",
"L28.5156 8.29688\n",
"L28.5156 63.9219\n",
"L10.9844 60.4062\n",
"L10.9844 69.3906\n",
"L28.4219 72.9062\n",
"L38.2812 72.9062\n",
"L38.2812 8.29688\n",
"L54.3906 8.29688\n",
"L54.3906 0\n",
"L12.4062 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-31\"/>\n",
" </defs>\n",
" <g transform=\"translate(148.629375 371.725)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-31\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_3\">\n",
" <g id=\"line2d_7\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-width:0.5;\" x=\"268.71375\" xlink:href=\"#m93b0483c22\" y=\"358.606875\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_8\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-width:0.5;\" x=\"268.71375\" xlink:href=\"#m741efc42ff\" y=\"13.006875\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_3\">\n",
" <!-- 1.5 -->\n",
" <g transform=\"translate(260.355 371.725)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-31\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-35\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_4\">\n",
" <g id=\"line2d_9\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-width:0.5;\" x=\"380.31375\" xlink:href=\"#m93b0483c22\" y=\"358.606875\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_10\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-width:0.5;\" x=\"380.31375\" xlink:href=\"#m741efc42ff\" y=\"13.006875\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_4\">\n",
" <!-- 2.0 -->\n",
" <defs>\n",
" <path d=\"\n",
"M19.1875 8.29688\n",
"L53.6094 8.29688\n",
"L53.6094 0\n",
"L7.32812 0\n",
"L7.32812 8.29688\n",
"Q12.9375 14.1094 22.625 23.8906\n",
"Q32.3281 33.6875 34.8125 36.5312\n",
"Q39.5469 41.8438 41.4219 45.5312\n",
"Q43.3125 49.2188 43.3125 52.7812\n",
"Q43.3125 58.5938 39.2344 62.25\n",
"Q35.1562 65.9219 28.6094 65.9219\n",
"Q23.9688 65.9219 18.8125 64.3125\n",
"Q13.6719 62.7031 7.8125 59.4219\n",
"L7.8125 69.3906\n",
"Q13.7656 71.7812 18.9375 73\n",
"Q24.125 74.2188 28.4219 74.2188\n",
"Q39.75 74.2188 46.4844 68.5469\n",
"Q53.2188 62.8906 53.2188 53.4219\n",
"Q53.2188 48.9219 51.5312 44.8906\n",
"Q49.8594 40.875 45.4062 35.4062\n",
"Q44.1875 33.9844 37.6406 27.2188\n",
"Q31.1094 20.4531 19.1875 8.29688\" id=\"BitstreamVeraSans-Roman-32\"/>\n",
" </defs>\n",
" <g transform=\"translate(371.61 371.725)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-32\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_5\">\n",
" <g id=\"line2d_11\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-width:0.5;\" x=\"491.91375\" xlink:href=\"#m93b0483c22\" y=\"358.606875\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_12\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-width:0.5;\" x=\"491.91375\" xlink:href=\"#m741efc42ff\" y=\"13.006875\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_5\">\n",
" <!-- 2.5 -->\n",
" <g transform=\"translate(483.335625 371.725)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-32\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-35\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_6\">\n",
" <!-- SNR -->\n",
" <defs>\n",
" <path d=\"\n",
"M9.8125 72.9062\n",
"L23.0938 72.9062\n",
"L55.4219 11.9219\n",
"L55.4219 72.9062\n",
"L64.9844 72.9062\n",
"L64.9844 0\n",
"L51.7031 0\n",
"L19.3906 60.9844\n",
"L19.3906 0\n",
"L9.8125 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-4e\"/>\n",
" <path d=\"\n",
"M53.5156 70.5156\n",
"L53.5156 60.8906\n",
"Q47.9062 63.5781 42.9219 64.8906\n",
"Q37.9375 66.2188 33.2969 66.2188\n",
"Q25.25 66.2188 20.875 63.0938\n",
"Q16.5 59.9688 16.5 54.2031\n",
"Q16.5 49.3594 19.4062 46.8906\n",
"Q22.3125 44.4375 30.4219 42.9219\n",
"L36.375 41.7031\n",
"Q47.4062 39.5938 52.6562 34.2969\n",
"Q57.9062 29 57.9062 20.125\n",
"Q57.9062 9.51562 50.7969 4.04688\n",
"Q43.7031 -1.42188 29.9844 -1.42188\n",
"Q24.8125 -1.42188 18.9688 -0.25\n",
"Q13.1406 0.921875 6.89062 3.21875\n",
"L6.89062 13.375\n",
"Q12.8906 10.0156 18.6562 8.29688\n",
"Q24.4219 6.59375 29.9844 6.59375\n",
"Q38.4219 6.59375 43.0156 9.90625\n",
"Q47.6094 13.2344 47.6094 19.3906\n",
"Q47.6094 24.75 44.3125 27.7812\n",
"Q41.0156 30.8125 33.5 32.3281\n",
"L27.4844 33.5\n",
"Q16.4531 35.6875 11.5156 40.375\n",
"Q6.59375 45.0625 6.59375 53.4219\n",
"Q6.59375 63.0938 13.4062 68.6562\n",
"Q20.2188 74.2188 32.1719 74.2188\n",
"Q37.3125 74.2188 42.625 73.2812\n",
"Q47.9531 72.3594 53.5156 70.5156\" id=\"BitstreamVeraSans-Roman-53\"/>\n",
" <path d=\"\n",
"M44.3906 34.1875\n",
"Q47.5625 33.1094 50.5625 29.5938\n",
"Q53.5625 26.0781 56.5938 19.9219\n",
"L66.6094 0\n",
"L56 0\n",
"L46.6875 18.7031\n",
"Q43.0625 26.0312 39.6719 28.4219\n",
"Q36.2812 30.8125 30.4219 30.8125\n",
"L19.6719 30.8125\n",
"L19.6719 0\n",
"L9.8125 0\n",
"L9.8125 72.9062\n",
"L32.0781 72.9062\n",
"Q44.5781 72.9062 50.7344 67.6719\n",
"Q56.8906 62.4531 56.8906 51.9062\n",
"Q56.8906 45.0156 53.6875 40.4688\n",
"Q50.4844 35.9375 44.3906 34.1875\n",
"M19.6719 64.7969\n",
"L19.6719 38.9219\n",
"L32.0781 38.9219\n",
"Q39.2031 38.9219 42.8438 42.2188\n",
"Q46.4844 45.5156 46.4844 51.9062\n",
"Q46.4844 58.2969 42.8438 61.5469\n",
"Q39.2031 64.7969 32.0781 64.7969\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-52\"/>\n",
" </defs>\n",
" <g transform=\"translate(256.815 388.33875)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-53\"/>\n",
" <use x=\"63.4765625\" xlink:href=\"#BitstreamVeraSans-Roman-4e\"/>\n",
" <use x=\"138.28125\" xlink:href=\"#BitstreamVeraSans-Roman-52\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"matplotlib.axis_2\">\n",
" <g id=\"ytick_1\">\n",
" <g id=\"line2d_13\">\n",
" <defs>\n",
" <path d=\"\n",
"M0 0\n",
"L4 0\" id=\"m728421d6d4\" style=\"stroke:#000000;stroke-width:0.5;\"/>\n",
" </defs>\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-width:0.5;\" x=\"45.51375\" xlink:href=\"#m728421d6d4\" y=\"358.606875\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_14\">\n",
" <defs>\n",
" <path d=\"\n",
"M0 0\n",
"L-4 0\" id=\"mcb0005524f\" style=\"stroke:#000000;stroke-width:0.5;\"/>\n",
" </defs>\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-width:0.5;\" x=\"491.91375\" xlink:href=\"#mcb0005524f\" y=\"358.606875\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_7\">\n",
" <!-- 1.0 -->\n",
" <g transform=\"translate(24.545 361.918125)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-31\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_2\">\n",
" <g id=\"line2d_15\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-width:0.5;\" x=\"45.51375\" xlink:href=\"#m728421d6d4\" y=\"301.006875\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_16\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-width:0.5;\" x=\"491.91375\" xlink:href=\"#mcb0005524f\" y=\"301.006875\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_8\">\n",
" <!-- 1.5 -->\n",
" <g transform=\"translate(24.79625 304.318125)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-31\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-35\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_3\">\n",
" <g id=\"line2d_17\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-width:0.5;\" x=\"45.51375\" xlink:href=\"#m728421d6d4\" y=\"243.406875\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_18\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-width:0.5;\" x=\"491.91375\" xlink:href=\"#mcb0005524f\" y=\"243.406875\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_9\">\n",
" <!-- 2.0 -->\n",
" <g transform=\"translate(24.10625 246.718125)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-32\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_4\">\n",
" <g id=\"line2d_19\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-width:0.5;\" x=\"45.51375\" xlink:href=\"#m728421d6d4\" y=\"185.806875\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_20\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-width:0.5;\" x=\"491.91375\" xlink:href=\"#mcb0005524f\" y=\"185.806875\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_10\">\n",
" <!-- 2.5 -->\n",
" <g transform=\"translate(24.3575 189.118125)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-32\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-35\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_5\">\n",
" <g id=\"line2d_21\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-width:0.5;\" x=\"45.51375\" xlink:href=\"#m728421d6d4\" y=\"128.206875\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_22\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-width:0.5;\" x=\"491.91375\" xlink:href=\"#mcb0005524f\" y=\"128.206875\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_11\">\n",
" <!-- 3.0 -->\n",
" <defs>\n",
" <path d=\"\n",
"M40.5781 39.3125\n",
"Q47.6562 37.7969 51.625 33\n",
"Q55.6094 28.2188 55.6094 21.1875\n",
"Q55.6094 10.4062 48.1875 4.48438\n",
"Q40.7656 -1.42188 27.0938 -1.42188\n",
"Q22.5156 -1.42188 17.6562 -0.515625\n",
"Q12.7969 0.390625 7.625 2.20312\n",
"L7.625 11.7188\n",
"Q11.7188 9.32812 16.5938 8.10938\n",
"Q21.4844 6.89062 26.8125 6.89062\n",
"Q36.0781 6.89062 40.9375 10.5469\n",
"Q45.7969 14.2031 45.7969 21.1875\n",
"Q45.7969 27.6406 41.2812 31.2656\n",
"Q36.7656 34.9062 28.7188 34.9062\n",
"L20.2188 34.9062\n",
"L20.2188 43.0156\n",
"L29.1094 43.0156\n",
"Q36.375 43.0156 40.2344 45.9219\n",
"Q44.0938 48.8281 44.0938 54.2969\n",
"Q44.0938 59.9062 40.1094 62.9062\n",
"Q36.1406 65.9219 28.7188 65.9219\n",
"Q24.6562 65.9219 20.0156 65.0312\n",
"Q15.375 64.1562 9.8125 62.3125\n",
"L9.8125 71.0938\n",
"Q15.4375 72.6562 20.3438 73.4375\n",
"Q25.25 74.2188 29.5938 74.2188\n",
"Q40.8281 74.2188 47.3594 69.1094\n",
"Q53.9062 64.0156 53.9062 55.3281\n",
"Q53.9062 49.2656 50.4375 45.0938\n",
"Q46.9688 40.9219 40.5781 39.3125\" id=\"BitstreamVeraSans-Roman-33\"/>\n",
" </defs>\n",
" <g transform=\"translate(24.141875 131.518125)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-33\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_6\">\n",
" <g id=\"line2d_23\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-width:0.5;\" x=\"45.51375\" xlink:href=\"#m728421d6d4\" y=\"70.606875\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_24\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-width:0.5;\" x=\"491.91375\" xlink:href=\"#mcb0005524f\" y=\"70.606875\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_12\">\n",
" <!-- 3.5 -->\n",
" <g transform=\"translate(24.393125 73.918125)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-33\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-35\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_7\">\n",
" <g id=\"line2d_25\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-width:0.5;\" x=\"45.51375\" xlink:href=\"#m728421d6d4\" y=\"13.006875\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_26\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-width:0.5;\" x=\"491.91375\" xlink:href=\"#mcb0005524f\" y=\"13.006875\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_13\">\n",
" <!-- 4.0 -->\n",
" <defs>\n",
" <path d=\"\n",
"M37.7969 64.3125\n",
"L12.8906 25.3906\n",
"L37.7969 25.3906\n",
"z\n",
"\n",
"M35.2031 72.9062\n",
"L47.6094 72.9062\n",
"L47.6094 25.3906\n",
"L58.0156 25.3906\n",
"L58.0156 17.1875\n",
"L47.6094 17.1875\n",
"L47.6094 0\n",
"L37.7969 0\n",
"L37.7969 17.1875\n",
"L4.89062 17.1875\n",
"L4.89062 26.7031\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-34\"/>\n",
" </defs>\n",
" <g transform=\"translate(23.81375 16.318125)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-34\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_14\">\n",
" <!-- Variance -->\n",
" <defs>\n",
" <path d=\"\n",
"M54.8906 33.0156\n",
"L54.8906 0\n",
"L45.9062 0\n",
"L45.9062 32.7188\n",
"Q45.9062 40.4844 42.875 44.3281\n",
"Q39.8438 48.1875 33.7969 48.1875\n",
"Q26.5156 48.1875 22.3125 43.5469\n",
"Q18.1094 38.9219 18.1094 30.9062\n",
"L18.1094 0\n",
"L9.07812 0\n",
"L9.07812 54.6875\n",
"L18.1094 54.6875\n",
"L18.1094 46.1875\n",
"Q21.3438 51.125 25.7031 53.5625\n",
"Q30.0781 56 35.7969 56\n",
"Q45.2188 56 50.0469 50.1719\n",
"Q54.8906 44.3438 54.8906 33.0156\" id=\"BitstreamVeraSans-Roman-6e\"/>\n",
" <path d=\"\n",
"M34.2812 27.4844\n",
"Q23.3906 27.4844 19.1875 25\n",
"Q14.9844 22.5156 14.9844 16.5\n",
"Q14.9844 11.7188 18.1406 8.90625\n",
"Q21.2969 6.10938 26.7031 6.10938\n",
"Q34.1875 6.10938 38.7031 11.4062\n",
"Q43.2188 16.7031 43.2188 25.4844\n",
"L43.2188 27.4844\n",
"z\n",
"\n",
"M52.2031 31.2031\n",
"L52.2031 0\n",
"L43.2188 0\n",
"L43.2188 8.29688\n",
"Q40.1406 3.32812 35.5469 0.953125\n",
"Q30.9531 -1.42188 24.3125 -1.42188\n",
"Q15.9219 -1.42188 10.9531 3.29688\n",
"Q6 8.01562 6 15.9219\n",
"Q6 25.1406 12.1719 29.8281\n",
"Q18.3594 34.5156 30.6094 34.5156\n",
"L43.2188 34.5156\n",
"L43.2188 35.4062\n",
"Q43.2188 41.6094 39.1406 45\n",
"Q35.0625 48.3906 27.6875 48.3906\n",
"Q23 48.3906 18.5469 47.2656\n",
"Q14.1094 46.1406 10.0156 43.8906\n",
"L10.0156 52.2031\n",
"Q14.9375 54.1094 19.5781 55.0469\n",
"Q24.2188 56 28.6094 56\n",
"Q40.4844 56 46.3438 49.8438\n",
"Q52.2031 43.7031 52.2031 31.2031\" id=\"BitstreamVeraSans-Roman-61\"/>\n",
" <path d=\"\n",
"M9.42188 54.6875\n",
"L18.4062 54.6875\n",
"L18.4062 0\n",
"L9.42188 0\n",
"z\n",
"\n",
"M9.42188 75.9844\n",
"L18.4062 75.9844\n",
"L18.4062 64.5938\n",
"L9.42188 64.5938\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-69\"/>\n",
" <path d=\"\n",
"M28.6094 0\n",
"L0.78125 72.9062\n",
"L11.0781 72.9062\n",
"L34.1875 11.5312\n",
"L57.3281 72.9062\n",
"L67.5781 72.9062\n",
"L39.7969 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-56\"/>\n",
" <path d=\"\n",
"M56.2031 29.5938\n",
"L56.2031 25.2031\n",
"L14.8906 25.2031\n",
"Q15.4844 15.9219 20.4844 11.0625\n",
"Q25.4844 6.20312 34.4219 6.20312\n",
"Q39.5938 6.20312 44.4531 7.46875\n",
"Q49.3125 8.73438 54.1094 11.2812\n",
"L54.1094 2.78125\n",
"Q49.2656 0.734375 44.1875 -0.34375\n",
"Q39.1094 -1.42188 33.8906 -1.42188\n",
"Q20.7969 -1.42188 13.1562 6.1875\n",
"Q5.51562 13.8125 5.51562 26.8125\n",
"Q5.51562 40.2344 12.7656 48.1094\n",
"Q20.0156 56 32.3281 56\n",
"Q43.3594 56 49.7812 48.8906\n",
"Q56.2031 41.7969 56.2031 29.5938\n",
"M47.2188 32.2344\n",
"Q47.125 39.5938 43.0938 43.9844\n",
"Q39.0625 48.3906 32.4219 48.3906\n",
"Q24.9062 48.3906 20.3906 44.1406\n",
"Q15.875 39.8906 15.1875 32.1719\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-65\"/>\n",
" <path d=\"\n",
"M41.1094 46.2969\n",
"Q39.5938 47.1719 37.8125 47.5781\n",
"Q36.0312 48 33.8906 48\n",
"Q26.2656 48 22.1875 43.0469\n",
"Q18.1094 38.0938 18.1094 28.8125\n",
"L18.1094 0\n",
"L9.07812 0\n",
"L9.07812 54.6875\n",
"L18.1094 54.6875\n",
"L18.1094 46.1875\n",
"Q20.9531 51.1719 25.4844 53.5781\n",
"Q30.0312 56 36.5312 56\n",
"Q37.4531 56 38.5781 55.875\n",
"Q39.7031 55.7656 41.0625 55.5156\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-72\"/>\n",
" <path d=\"\n",
"M48.7812 52.5938\n",
"L48.7812 44.1875\n",
"Q44.9688 46.2969 41.1406 47.3438\n",
"Q37.3125 48.3906 33.4062 48.3906\n",
"Q24.6562 48.3906 19.8125 42.8438\n",
"Q14.9844 37.3125 14.9844 27.2969\n",
"Q14.9844 17.2812 19.8125 11.7344\n",
"Q24.6562 6.20312 33.4062 6.20312\n",
"Q37.3125 6.20312 41.1406 7.25\n",
"Q44.9688 8.29688 48.7812 10.4062\n",
"L48.7812 2.09375\n",
"Q45.0156 0.34375 40.9844 -0.53125\n",
"Q36.9688 -1.42188 32.4219 -1.42188\n",
"Q20.0625 -1.42188 12.7812 6.34375\n",
"Q5.51562 14.1094 5.51562 27.2969\n",
"Q5.51562 40.6719 12.8594 48.3281\n",
"Q20.2188 56 33.0156 56\n",
"Q37.1562 56 41.1094 55.1406\n",
"Q45.0625 54.2969 48.7812 52.5938\" id=\"BitstreamVeraSans-Roman-63\"/>\n",
" </defs>\n",
" <g transform=\"translate(16.318125 211.3603125)rotate(-90.0)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-56\"/>\n",
" <use x=\"60.658203125\" xlink:href=\"#BitstreamVeraSans-Roman-61\"/>\n",
" <use x=\"121.9375\" xlink:href=\"#BitstreamVeraSans-Roman-72\"/>\n",
" <use x=\"163.05078125\" xlink:href=\"#BitstreamVeraSans-Roman-69\"/>\n",
" <use x=\"190.833984375\" xlink:href=\"#BitstreamVeraSans-Roman-61\"/>\n",
" <use x=\"252.11328125\" xlink:href=\"#BitstreamVeraSans-Roman-6e\"/>\n",
" <use x=\"315.4921875\" xlink:href=\"#BitstreamVeraSans-Roman-63\"/>\n",
" <use x=\"370.47265625\" xlink:href=\"#BitstreamVeraSans-Roman-65\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"patch_3\">\n",
" <path d=\"\n",
"M45.5138 13.0069\n",
"L491.914 13.0069\" style=\"fill:none;stroke:#000000;\"/>\n",
" </g>\n",
" <g id=\"patch_4\">\n",
" <path d=\"\n",
"M491.914 358.607\n",
"L491.914 13.0069\" style=\"fill:none;stroke:#000000;\"/>\n",
" </g>\n",
" <g id=\"patch_5\">\n",
" <path d=\"\n",
"M45.5138 358.607\n",
"L491.914 358.607\" style=\"fill:none;stroke:#000000;\"/>\n",
" </g>\n",
" <g id=\"patch_6\">\n",
" <path d=\"\n",
"M45.5138 358.607\n",
"L45.5138 13.0069\" style=\"fill:none;stroke:#000000;\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <defs>\n",
" <clipPath id=\"pa3d5fa58af\">\n",
" <rect height=\"345.6\" width=\"446.4\" x=\"45.51375\" y=\"13.006875\"/>\n",
" </clipPath>\n",
" </defs>\n",
"</svg>\n"
],
"text": [
"Figure(PyObject <matplotlib.figure.Figure object at 0x115b25950>)"
]
},
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 34,
"text": [
"PyObject <matplotlib.text.Text object at 0x115bbd6d0>"
]
}
],
"prompt_number": 34
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Indicating that an SNR of approximately 1.4 would be the break-even point. We can find it more exactly with a numerical search."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"f(x) = 1./(erf(sqrt(x/2)).^2) - (1./x + 1)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 17,
"text": [
"f (generic function with 1 method)"
]
}
],
"prompt_number": 17
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"Optim.levenberg_marquardt(f, Calculus.jacobian(f), [1.4])"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 21,
"text": [
"Results of Optimization Algorithm\n",
" * Algorithm: Levenberg-Marquardt\n",
" * Starting Point: 1.4\n",
"\n",
" * Minimum: 1.409065088887467\n",
"\n",
" * Value of Function at Minimum: 0.000000\n",
" * Iterations: 9\n",
" * Convergence: true\n",
" * |x - x'| < 0.0e+00: false\n",
" * |f(x) - f(x')| / |f(x)| < 0.0e+00: false\n",
" * |g(x)| < 1.0e-12: true\n",
" * Exceeded Maximum Number of Iterations: false\n",
" * Objective Function Calls: 10\n",
" * Gradient Call: 9"
]
}
],
"prompt_number": 21
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Converting from SNR to single-shot fidelity for correlated measurements"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"r(n) = 1/((1/1.409+1)^(1/n)-1)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 27,
"text": [
"r (generic function with 1 method)"
]
}
],
"prompt_number": 27
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"[erf(sqrt(r(n)/2)) for n = 1:5]"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 33,
"text": [
"5-element Array{Float64,1}:\n",
" 0.764778\n",
" 0.928636\n",
" 0.97619 \n",
" 0.991708\n",
" 0.997039"
]
}
],
"prompt_number": 33
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"Imperfect calibration"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"N = 10000;\n",
"Rs = integer(logspace(2,4,3));\n",
"SNRs = linspace(.5,2.5,10);"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 99
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"hard_decision(x,threshold) = sign(x-threshold)\n",
"\n",
"function bootstrapped_ci(x,stat,n,p)\n",
" replicas = [stat(x[rand(DiscreteUniform(1,length(x)),length(x))]) for i in 1:n]\n",
" quantile(replicas, p)\n",
"end"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 100,
"text": [
"bootstrapped_ci (generic function with 2 methods)"
]
}
],
"prompt_number": 100
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"zz_soft_mse = zeros(3,length(Rs),length(SNRs))\n",
"zo_soft_mse = zeros(3,length(Rs),length(SNRs))\n",
"zz_hard_mse = zeros(3,length(Rs),length(SNRs))\n",
"zo_hard_mse = zeros(3,length(Rs),length(SNRs))\n",
"for Rcount=1:length(Rs)\n",
" R = Rs[Rcount]\n",
" for SNRcount=1:length(SNRs)\n",
" sigma = sqrt(1./SNRs[SNRcount])\n",
" zz_soft = zeros(N)\n",
" zo_soft = zeros(N)\n",
" zz_hard = zeros(N)\n",
" zo_hard = zeros(N)\n",
" for rep=1:N\n",
" # get calibrations\n",
" m0 = rand(Normal(-1,sigma),R)\n",
" m1 = rand(Normal(+1,sigma),R)\n",
" alpha = (mean(m1)-mean(m0))/2 # scale\n",
" beta = (mean(m1)+mean(m0))/2 # threshold\n",
" c = mean(hard_decision(m1,beta)) # bias correction for thresholding\n",
" # get observations (for states with 0 and 1 sigma_z expectation values, mz(ero) and mo(ne) resp.)\n",
" mz = 2*rand(Bernoulli(0.5),R)-1 + rand(Normal(0,sigma),R)\n",
" mo = 2*rand(Bernoulli(1.0),R)-1 + rand(Normal(0,sigma),R)\n",
" # soft averaging SE \n",
" zz_soft[rep] = ((mean(mz)-beta)/alpha)^2\n",
" zo_soft[rep] = ((mean(mo)-beta)/alpha-1)^2\n",
" # thresholding SE\n",
" zz_hard[rep] = (mean(hard_decision(mz, beta))/c)^2\n",
" zo_hard[rep] = (mean(hard_decision(mo, beta))/c-1)^2\n",
" end\n",
" # compute MSE estimate and error bars (bootstrapped)\n",
" zz_soft_mse[:,Rcount,SNRcount] = vec([mean(zz_soft); abs(bootstrapped_ci(zz_soft,mean,1000,[0.05,.95])-mean(zz_soft))])\n",
" zo_soft_mse[:,Rcount,SNRcount] = vec([mean(zo_soft); abs(bootstrapped_ci(zo_soft,mean,1000,[0.05,.95])-mean(zo_soft))])\n",
" zz_hard_mse[:,Rcount,SNRcount] = vec([mean(zz_hard); abs(bootstrapped_ci(zz_hard,mean,1000,[0.05,.95])-mean(zz_hard))])\n",
" zo_hard_mse[:,Rcount,SNRcount] = vec([mean(zo_hard); abs(bootstrapped_ci(zo_hard,mean,1000,[0.05,.95])-mean(zo_hard))])\n",
" end\n",
"end"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 101
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"fill_between(SNRs,vec(zo_soft_mse[1,1,:]-zo_soft_mse[1,2,:]),vec(zo_soft_mse[1,1,:]+zo_soft_mse[1,3,:]),facecolor=\"red\",alpha=.5);\n",
"plot(SNRs,vec(zo_soft_mse[1,1,:]),\"r-\")\n",
"fill_between(SNRs,vec(zo_hard_mse[1,1,:]-zo_hard_mse[1,2,:]),vec(zo_hard_mse[1,1,:]+zo_hard_mse[1,3,:]),facecolor=\"blue\",alpha=.5);\n",
"plot(SNRs,vec(zo_hard_mse[1,1,:]),\"b-\")\n",
"xlabel(\"SNR\");\n",
"ylabel(\"MSE\");\n",
"title(\"Soft avg. (red) vs. Thresholding (blue) @ 100 reps (z=1)\");"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": "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",
"svg": [
"<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n",
"<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n",
" \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n",
"<!-- Created with matplotlib (http://matplotlib.org/) -->\n",
"<svg height=\"403pt\" version=\"1.1\" viewBox=\"0 0 512 403\" width=\"512pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n",
" <defs>\n",
" <style type=\"text/css\">\n",
"*{stroke-linecap:square;stroke-linejoin:round;}\n",
" </style>\n",
" </defs>\n",
" <g id=\"figure_1\">\n",
" <g id=\"patch_1\">\n",
" <path d=\"\n",
"M0 403.095\n",
"L512.709 403.095\n",
"L512.709 0\n",
"L0 0\n",
"z\n",
"\" style=\"fill:#ffffff;\"/>\n",
" </g>\n",
" <g id=\"axes_1\">\n",
" <g id=\"patch_2\">\n",
" <path d=\"\n",
"M50.5312 368.742\n",
"L496.931 368.742\n",
"L496.931 23.1417\n",
"L50.5312 23.1417\n",
"z\n",
"\" style=\"fill:#ffffff;\"/>\n",
" </g>\n",
" <g id=\"PolyCollection_1\">\n",
" <defs>\n",
" <path d=\"\n",
"M50.5312 -244.138\n",
"L50.5312 -222.405\n",
"L100.131 -164.897\n",
"L149.731 -132.053\n",
"L199.331 -112.257\n",
"L248.931 -101.609\n",
"L298.531 -89.7307\n",
"L348.131 -82.7014\n",
"L397.731 -79.2092\n",
"L447.331 -73.4375\n",
"L496.931 -70.0079\n",
"L496.931 -74.3387\n",
"L496.931 -74.3387\n",
"L447.331 -78.1566\n",
"L397.731 -84.4579\n",
"L348.131 -88.5783\n",
"L298.531 -96.3291\n",
"L248.931 -109.155\n",
"L199.331 -121.543\n",
"L149.731 -143.427\n",
"L100.131 -180.118\n",
"L50.5312 -244.138\n",
"z\n",
"\" id=\"C0_0_46d27da1db\"/>\n",
" </defs>\n",
" <g clip-path=\"url(#pbd07871eb9)\">\n",
" <use style=\"fill:#ff0000;opacity:0.5;stroke:#000000;stroke-linecap:butt;\" x=\"0\" xlink:href=\"#C0_0_46d27da1db\" y=\"403.0955\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"PolyCollection_2\">\n",
" <defs>\n",
" <path d=\"\n",
"M50.5312 -333.183\n",
"L50.5312 -304.181\n",
"L100.131 -202.952\n",
"L149.731 -153.991\n",
"L199.331 -121.55\n",
"L248.931 -101.235\n",
"L298.531 -87.4659\n",
"L348.131 -78.1495\n",
"L397.731 -70.5219\n",
"L447.331 -64.1249\n",
"L496.931 -59.1203\n",
"L496.931 -62.1094\n",
"L496.931 -62.1094\n",
"L447.331 -67.6219\n",
"L397.731 -74.6807\n",
"L348.131 -83.221\n",
"L298.531 -93.6337\n",
"L248.931 -109.117\n",
"L199.331 -131.47\n",
"L149.731 -167.414\n",
"L100.131 -222\n",
"L50.5312 -333.183\n",
"z\n",
"\" id=\"C1_0_c99c83cd62\"/>\n",
" </defs>\n",
" <g clip-path=\"url(#pbd07871eb9)\">\n",
" <use style=\"fill:#0000ff;opacity:0.5;stroke:#000000;stroke-linecap:butt;\" x=\"0\" xlink:href=\"#C1_0_c99c83cd62\" y=\"403.0955\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_1\">\n",
" <path clip-path=\"url(#pbd07871eb9)\" d=\"\n",
"M50.5312 160.937\n",
"L100.131 224.338\n",
"L149.731 260.741\n",
"L199.331 282.399\n",
"L248.931 294.674\n",
"L298.531 307.369\n",
"L348.131 315.062\n",
"L397.731 319.112\n",
"L447.331 325.366\n",
"L496.931 329.149\" style=\"fill:none;stroke:#ff0000;\"/>\n",
" </g>\n",
" <g id=\"line2d_2\">\n",
" <path clip-path=\"url(#pbd07871eb9)\" d=\"\n",
"M50.5312 72.6064\n",
"L100.131 182.823\n",
"L149.731 236.906\n",
"L199.331 272.563\n",
"L248.931 294.711\n",
"L298.531 310.02\n",
"L348.131 320.334\n",
"L397.731 328.796\n",
"L447.331 335.788\n",
"L496.931 341.255\" style=\"fill:none;stroke:#0000ff;\"/>\n",
" </g>\n",
" <g id=\"matplotlib.axis_1\">\n",
" <g id=\"xtick_1\">\n",
" <g id=\"line2d_3\">\n",
" <defs>\n",
" <path d=\"\n",
"M0 0\n",
"L0 -4\" id=\"mcb557df647\" style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\"/>\n",
" </defs>\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"50.53125\" xlink:href=\"#mcb557df647\" y=\"368.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_4\">\n",
" <defs>\n",
" <path d=\"\n",
"M0 0\n",
"L0 4\" id=\"mdad270ee8e\" style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\"/>\n",
" </defs>\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"50.53125\" xlink:href=\"#mdad270ee8e\" y=\"23.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_1\">\n",
" <!-- 0.5 -->\n",
" <defs>\n",
" <path d=\"\n",
"M31.7812 66.4062\n",
"Q24.1719 66.4062 20.3281 58.9062\n",
"Q16.5 51.4219 16.5 36.375\n",
"Q16.5 21.3906 20.3281 13.8906\n",
"Q24.1719 6.39062 31.7812 6.39062\n",
"Q39.4531 6.39062 43.2812 13.8906\n",
"Q47.125 21.3906 47.125 36.375\n",
"Q47.125 51.4219 43.2812 58.9062\n",
"Q39.4531 66.4062 31.7812 66.4062\n",
"M31.7812 74.2188\n",
"Q44.0469 74.2188 50.5156 64.5156\n",
"Q56.9844 54.8281 56.9844 36.375\n",
"Q56.9844 17.9688 50.5156 8.26562\n",
"Q44.0469 -1.42188 31.7812 -1.42188\n",
"Q19.5312 -1.42188 13.0625 8.26562\n",
"Q6.59375 17.9688 6.59375 36.375\n",
"Q6.59375 54.8281 13.0625 64.5156\n",
"Q19.5312 74.2188 31.7812 74.2188\" id=\"BitstreamVeraSans-Roman-30\"/>\n",
" <path d=\"\n",
"M10.6875 12.4062\n",
"L21 12.4062\n",
"L21 0\n",
"L10.6875 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-2e\"/>\n",
" <path d=\"\n",
"M10.7969 72.9062\n",
"L49.5156 72.9062\n",
"L49.5156 64.5938\n",
"L19.8281 64.5938\n",
"L19.8281 46.7344\n",
"Q21.9688 47.4688 24.1094 47.8281\n",
"Q26.2656 48.1875 28.4219 48.1875\n",
"Q40.625 48.1875 47.75 41.5\n",
"Q54.8906 34.8125 54.8906 23.3906\n",
"Q54.8906 11.625 47.5625 5.09375\n",
"Q40.2344 -1.42188 26.9062 -1.42188\n",
"Q22.3125 -1.42188 17.5469 -0.640625\n",
"Q12.7969 0.140625 7.71875 1.70312\n",
"L7.71875 11.625\n",
"Q12.1094 9.23438 16.7969 8.0625\n",
"Q21.4844 6.89062 26.7031 6.89062\n",
"Q35.1562 6.89062 40.0781 11.3281\n",
"Q45.0156 15.7656 45.0156 23.3906\n",
"Q45.0156 31 40.0781 35.4375\n",
"Q35.1562 39.8906 26.7031 39.8906\n",
"Q22.75 39.8906 18.8125 39.0156\n",
"Q14.8906 38.1406 10.7969 36.2812\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-35\"/>\n",
" </defs>\n",
" <g transform=\"translate(41.9090625 381.648)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-35\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_2\">\n",
" <g id=\"line2d_5\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"162.13125\" xlink:href=\"#mcb557df647\" y=\"368.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_6\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"162.13125\" xlink:href=\"#mdad270ee8e\" y=\"23.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_2\">\n",
" <!-- 1.0 -->\n",
" <defs>\n",
" <path d=\"\n",
"M12.4062 8.29688\n",
"L28.5156 8.29688\n",
"L28.5156 63.9219\n",
"L10.9844 60.4062\n",
"L10.9844 69.3906\n",
"L28.4219 72.9062\n",
"L38.2812 72.9062\n",
"L38.2812 8.29688\n",
"L54.3906 8.29688\n",
"L54.3906 0\n",
"L12.4062 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-31\"/>\n",
" </defs>\n",
" <g transform=\"translate(153.646875 381.648)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-31\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_3\">\n",
" <g id=\"line2d_7\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"273.73125\" xlink:href=\"#mcb557df647\" y=\"368.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_8\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"273.73125\" xlink:href=\"#mdad270ee8e\" y=\"23.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_3\">\n",
" <!-- 1.5 -->\n",
" <g transform=\"translate(265.3725 381.4905)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-31\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-35\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_4\">\n",
" <g id=\"line2d_9\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"385.33125\" xlink:href=\"#mcb557df647\" y=\"368.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_10\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"385.33125\" xlink:href=\"#mdad270ee8e\" y=\"23.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_4\">\n",
" <!-- 2.0 -->\n",
" <defs>\n",
" <path d=\"\n",
"M19.1875 8.29688\n",
"L53.6094 8.29688\n",
"L53.6094 0\n",
"L7.32812 0\n",
"L7.32812 8.29688\n",
"Q12.9375 14.1094 22.625 23.8906\n",
"Q32.3281 33.6875 34.8125 36.5312\n",
"Q39.5469 41.8438 41.4219 45.5312\n",
"Q43.3125 49.2188 43.3125 52.7812\n",
"Q43.3125 58.5938 39.2344 62.25\n",
"Q35.1562 65.9219 28.6094 65.9219\n",
"Q23.9688 65.9219 18.8125 64.3125\n",
"Q13.6719 62.7031 7.8125 59.4219\n",
"L7.8125 69.3906\n",
"Q13.7656 71.7812 18.9375 73\n",
"Q24.125 74.2188 28.4219 74.2188\n",
"Q39.75 74.2188 46.4844 68.5469\n",
"Q53.2188 62.8906 53.2188 53.4219\n",
"Q53.2188 48.9219 51.5312 44.8906\n",
"Q49.8594 40.875 45.4062 35.4062\n",
"Q44.1875 33.9844 37.6406 27.2188\n",
"Q31.1094 20.4531 19.1875 8.29688\" id=\"BitstreamVeraSans-Roman-32\"/>\n",
" </defs>\n",
" <g transform=\"translate(376.6275 381.648)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-32\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_5\">\n",
" <g id=\"line2d_11\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"496.93125\" xlink:href=\"#mcb557df647\" y=\"368.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_12\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"496.93125\" xlink:href=\"#mdad270ee8e\" y=\"23.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_5\">\n",
" <!-- 2.5 -->\n",
" <g transform=\"translate(488.353125 381.648)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-32\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-35\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_6\">\n",
" <!-- SNR -->\n",
" <defs>\n",
" <path d=\"\n",
"M9.8125 72.9062\n",
"L23.0938 72.9062\n",
"L55.4219 11.9219\n",
"L55.4219 72.9062\n",
"L64.9844 72.9062\n",
"L64.9844 0\n",
"L51.7031 0\n",
"L19.3906 60.9844\n",
"L19.3906 0\n",
"L9.8125 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-4e\"/>\n",
" <path d=\"\n",
"M53.5156 70.5156\n",
"L53.5156 60.8906\n",
"Q47.9062 63.5781 42.9219 64.8906\n",
"Q37.9375 66.2188 33.2969 66.2188\n",
"Q25.25 66.2188 20.875 63.0938\n",
"Q16.5 59.9688 16.5 54.2031\n",
"Q16.5 49.3594 19.4062 46.8906\n",
"Q22.3125 44.4375 30.4219 42.9219\n",
"L36.375 41.7031\n",
"Q47.4062 39.5938 52.6562 34.2969\n",
"Q57.9062 29 57.9062 20.125\n",
"Q57.9062 9.51562 50.7969 4.04688\n",
"Q43.7031 -1.42188 29.9844 -1.42188\n",
"Q24.8125 -1.42188 18.9688 -0.25\n",
"Q13.1406 0.921875 6.89062 3.21875\n",
"L6.89062 13.375\n",
"Q12.8906 10.0156 18.6562 8.29688\n",
"Q24.4219 6.59375 29.9844 6.59375\n",
"Q38.4219 6.59375 43.0156 9.90625\n",
"Q47.6094 13.2344 47.6094 19.3906\n",
"Q47.6094 24.75 44.3125 27.7812\n",
"Q41.0156 30.8125 33.5 32.3281\n",
"L27.4844 33.5\n",
"Q16.4531 35.6875 11.5156 40.375\n",
"Q6.59375 45.0625 6.59375 53.4219\n",
"Q6.59375 63.0938 13.4062 68.6562\n",
"Q20.2188 74.2188 32.1719 74.2188\n",
"Q37.3125 74.2188 42.625 73.2812\n",
"Q47.9531 72.3594 53.5156 70.5156\" id=\"BitstreamVeraSans-Roman-53\"/>\n",
" <path d=\"\n",
"M44.3906 34.1875\n",
"Q47.5625 33.1094 50.5625 29.5938\n",
"Q53.5625 26.0781 56.5938 19.9219\n",
"L66.6094 0\n",
"L56 0\n",
"L46.6875 18.7031\n",
"Q43.0625 26.0312 39.6719 28.4219\n",
"Q36.2812 30.8125 30.4219 30.8125\n",
"L19.6719 30.8125\n",
"L19.6719 0\n",
"L9.8125 0\n",
"L9.8125 72.9062\n",
"L32.0781 72.9062\n",
"Q44.5781 72.9062 50.7344 67.6719\n",
"Q56.8906 62.4531 56.8906 51.9062\n",
"Q56.8906 45.0156 53.6875 40.4688\n",
"Q50.4844 35.9375 44.3906 34.1875\n",
"M19.6719 64.7969\n",
"L19.6719 38.9219\n",
"L32.0781 38.9219\n",
"Q39.2031 38.9219 42.8438 42.2188\n",
"Q46.4844 45.5156 46.4844 51.9062\n",
"Q46.4844 58.2969 42.8438 61.5469\n",
"Q39.2031 64.7969 32.0781 64.7969\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-52\"/>\n",
" </defs>\n",
" <g transform=\"translate(261.8325 395.724875)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-53\"/>\n",
" <use x=\"63.4765625\" xlink:href=\"#BitstreamVeraSans-Roman-4e\"/>\n",
" <use x=\"138.28125\" xlink:href=\"#BitstreamVeraSans-Roman-52\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"matplotlib.axis_2\">\n",
" <g id=\"ytick_1\">\n",
" <g id=\"line2d_13\">\n",
" <defs>\n",
" <path d=\"\n",
"M0 0\n",
"L4 0\" id=\"mc8fcea1516\" style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\"/>\n",
" </defs>\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"50.53125\" xlink:href=\"#mc8fcea1516\" y=\"368.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_14\">\n",
" <defs>\n",
" <path d=\"\n",
"M0 0\n",
"L-4 0\" id=\"m0d5b0a6425\" style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\"/>\n",
" </defs>\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"496.93125\" xlink:href=\"#m0d5b0a6425\" y=\"368.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_7\">\n",
" <!-- 0.00 -->\n",
" <g transform=\"translate(21.400625 373.1095625)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_2\">\n",
" <g id=\"line2d_15\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"50.53125\" xlink:href=\"#mc8fcea1516\" y=\"319.370321429\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_16\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"496.93125\" xlink:href=\"#m0d5b0a6425\" y=\"319.370321429\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_8\">\n",
" <!-- 0.01 -->\n",
" <g transform=\"translate(21.711875 323.738133929)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-31\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_3\">\n",
" <g id=\"line2d_17\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"50.53125\" xlink:href=\"#mc8fcea1516\" y=\"269.998892857\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_18\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"496.93125\" xlink:href=\"#m0d5b0a6425\" y=\"269.998892857\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_9\">\n",
" <!-- 0.02 -->\n",
" <g transform=\"translate(21.805625 274.366705357)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-32\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_4\">\n",
" <g id=\"line2d_19\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"50.53125\" xlink:href=\"#mc8fcea1516\" y=\"220.627464286\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_20\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"496.93125\" xlink:href=\"#m0d5b0a6425\" y=\"220.627464286\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_10\">\n",
" <!-- 0.03 -->\n",
" <defs>\n",
" <path d=\"\n",
"M40.5781 39.3125\n",
"Q47.6562 37.7969 51.625 33\n",
"Q55.6094 28.2188 55.6094 21.1875\n",
"Q55.6094 10.4062 48.1875 4.48438\n",
"Q40.7656 -1.42188 27.0938 -1.42188\n",
"Q22.5156 -1.42188 17.6562 -0.515625\n",
"Q12.7969 0.390625 7.625 2.20312\n",
"L7.625 11.7188\n",
"Q11.7188 9.32812 16.5938 8.10938\n",
"Q21.4844 6.89062 26.8125 6.89062\n",
"Q36.0781 6.89062 40.9375 10.5469\n",
"Q45.7969 14.2031 45.7969 21.1875\n",
"Q45.7969 27.6406 41.2812 31.2656\n",
"Q36.7656 34.9062 28.7188 34.9062\n",
"L20.2188 34.9062\n",
"L20.2188 43.0156\n",
"L29.1094 43.0156\n",
"Q36.375 43.0156 40.2344 45.9219\n",
"Q44.0938 48.8281 44.0938 54.2969\n",
"Q44.0938 59.9062 40.1094 62.9062\n",
"Q36.1406 65.9219 28.7188 65.9219\n",
"Q24.6562 65.9219 20.0156 65.0312\n",
"Q15.375 64.1562 9.8125 62.3125\n",
"L9.8125 71.0938\n",
"Q15.4375 72.6562 20.3438 73.4375\n",
"Q25.25 74.2188 29.5938 74.2188\n",
"Q40.8281 74.2188 47.3594 69.1094\n",
"Q53.9062 64.0156 53.9062 55.3281\n",
"Q53.9062 49.2656 50.4375 45.0938\n",
"Q46.9688 40.9219 40.5781 39.3125\" id=\"BitstreamVeraSans-Roman-33\"/>\n",
" </defs>\n",
" <g transform=\"translate(21.565625 224.995276786)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-33\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_5\">\n",
" <g id=\"line2d_21\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"50.53125\" xlink:href=\"#mc8fcea1516\" y=\"171.256035714\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_22\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"496.93125\" xlink:href=\"#m0d5b0a6425\" y=\"171.256035714\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_11\">\n",
" <!-- 0.04 -->\n",
" <defs>\n",
" <path d=\"\n",
"M37.7969 64.3125\n",
"L12.8906 25.3906\n",
"L37.7969 25.3906\n",
"z\n",
"\n",
"M35.2031 72.9062\n",
"L47.6094 72.9062\n",
"L47.6094 25.3906\n",
"L58.0156 25.3906\n",
"L58.0156 17.1875\n",
"L47.6094 17.1875\n",
"L47.6094 0\n",
"L37.7969 0\n",
"L37.7969 17.1875\n",
"L4.89062 17.1875\n",
"L4.89062 26.7031\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-34\"/>\n",
" </defs>\n",
" <g transform=\"translate(21.276875 175.623848214)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-34\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_6\">\n",
" <g id=\"line2d_23\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"50.53125\" xlink:href=\"#mc8fcea1516\" y=\"121.884607143\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_24\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"496.93125\" xlink:href=\"#m0d5b0a6425\" y=\"121.884607143\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_12\">\n",
" <!-- 0.05 -->\n",
" <g transform=\"translate(21.651875 126.252419643)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-35\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_7\">\n",
" <g id=\"line2d_25\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"50.53125\" xlink:href=\"#mc8fcea1516\" y=\"72.5131785714\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_26\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"496.93125\" xlink:href=\"#m0d5b0a6425\" y=\"72.5131785714\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_13\">\n",
" <!-- 0.06 -->\n",
" <defs>\n",
" <path d=\"\n",
"M33.0156 40.375\n",
"Q26.375 40.375 22.4844 35.8281\n",
"Q18.6094 31.2969 18.6094 23.3906\n",
"Q18.6094 15.5312 22.4844 10.9531\n",
"Q26.375 6.39062 33.0156 6.39062\n",
"Q39.6562 6.39062 43.5312 10.9531\n",
"Q47.4062 15.5312 47.4062 23.3906\n",
"Q47.4062 31.2969 43.5312 35.8281\n",
"Q39.6562 40.375 33.0156 40.375\n",
"M52.5938 71.2969\n",
"L52.5938 62.3125\n",
"Q48.875 64.0625 45.0938 64.9844\n",
"Q41.3125 65.9219 37.5938 65.9219\n",
"Q27.8281 65.9219 22.6719 59.3281\n",
"Q17.5312 52.7344 16.7969 39.4062\n",
"Q19.6719 43.6562 24.0156 45.9219\n",
"Q28.375 48.1875 33.5938 48.1875\n",
"Q44.5781 48.1875 50.9531 41.5156\n",
"Q57.3281 34.8594 57.3281 23.3906\n",
"Q57.3281 12.1562 50.6875 5.35938\n",
"Q44.0469 -1.42188 33.0156 -1.42188\n",
"Q20.3594 -1.42188 13.6719 8.26562\n",
"Q6.98438 17.9688 6.98438 36.375\n",
"Q6.98438 53.6562 15.1875 63.9375\n",
"Q23.3906 74.2188 37.2031 74.2188\n",
"Q40.9219 74.2188 44.7031 73.4844\n",
"Q48.4844 72.75 52.5938 71.2969\" id=\"BitstreamVeraSans-Roman-36\"/>\n",
" </defs>\n",
" <g transform=\"translate(21.359375 76.8809910714)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-36\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_8\">\n",
" <g id=\"line2d_27\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"50.53125\" xlink:href=\"#mc8fcea1516\" y=\"23.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_28\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"496.93125\" xlink:href=\"#m0d5b0a6425\" y=\"23.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_14\">\n",
" <!-- 0.07 -->\n",
" <defs>\n",
" <path d=\"\n",
"M8.20312 72.9062\n",
"L55.0781 72.9062\n",
"L55.0781 68.7031\n",
"L28.6094 0\n",
"L18.3125 0\n",
"L43.2188 64.5938\n",
"L8.20312 64.5938\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-37\"/>\n",
" </defs>\n",
" <g transform=\"translate(21.629375 27.5095625)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-37\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_15\">\n",
" <!-- MSE -->\n",
" <defs>\n",
" <path d=\"\n",
"M9.8125 72.9062\n",
"L55.9062 72.9062\n",
"L55.9062 64.5938\n",
"L19.6719 64.5938\n",
"L19.6719 43.0156\n",
"L54.3906 43.0156\n",
"L54.3906 34.7188\n",
"L19.6719 34.7188\n",
"L19.6719 8.29688\n",
"L56.7812 8.29688\n",
"L56.7812 0\n",
"L9.8125 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-45\"/>\n",
" <path d=\"\n",
"M9.8125 72.9062\n",
"L24.5156 72.9062\n",
"L43.1094 23.2969\n",
"L61.8125 72.9062\n",
"L76.5156 72.9062\n",
"L76.5156 0\n",
"L66.8906 0\n",
"L66.8906 64.0156\n",
"L48.0938 14.0156\n",
"L38.1875 14.0156\n",
"L19.3906 64.0156\n",
"L19.3906 0\n",
"L9.8125 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-4d\"/>\n",
" </defs>\n",
" <g transform=\"translate(16.276875 207.5751875)rotate(-90.0)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-4d\"/>\n",
" <use x=\"86.279296875\" xlink:href=\"#BitstreamVeraSans-Roman-53\"/>\n",
" <use x=\"149.755859375\" xlink:href=\"#BitstreamVeraSans-Roman-45\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"patch_3\">\n",
" <path d=\"\n",
"M50.5312 23.1417\n",
"L496.931 23.1417\" style=\"fill:none;stroke:#000000;\"/>\n",
" </g>\n",
" <g id=\"patch_4\">\n",
" <path d=\"\n",
"M496.931 368.742\n",
"L496.931 23.1417\" style=\"fill:none;stroke:#000000;\"/>\n",
" </g>\n",
" <g id=\"patch_5\">\n",
" <path d=\"\n",
"M50.5312 368.742\n",
"L496.931 368.742\" style=\"fill:none;stroke:#000000;\"/>\n",
" </g>\n",
" <g id=\"patch_6\">\n",
" <path d=\"\n",
"M50.5312 368.742\n",
"L50.5312 23.1417\" style=\"fill:none;stroke:#000000;\"/>\n",
" </g>\n",
" <g id=\"text_16\">\n",
" <!-- Soft avg. (red) vs. Thresholding (blue) @ 100 reps (z=1) -->\n",
" <defs>\n",
" <path id=\"BitstreamVeraSans-Roman-20\"/>\n",
" <path d=\"\n",
"M8.01562 75.875\n",
"L15.8281 75.875\n",
"Q23.1406 64.3594 26.7812 53.3125\n",
"Q30.4219 42.2812 30.4219 31.3906\n",
"Q30.4219 20.4531 26.7812 9.375\n",
"Q23.1406 -1.70312 15.8281 -13.1875\n",
"L8.01562 -13.1875\n",
"Q14.5 -2 17.7031 9.0625\n",
"Q20.9062 20.125 20.9062 31.3906\n",
"Q20.9062 42.6719 17.7031 53.6562\n",
"Q14.5 64.6562 8.01562 75.875\" id=\"BitstreamVeraSans-Roman-29\"/>\n",
" <path d=\"\n",
"M31 75.875\n",
"Q24.4688 64.6562 21.2812 53.6562\n",
"Q18.1094 42.6719 18.1094 31.3906\n",
"Q18.1094 20.125 21.3125 9.0625\n",
"Q24.5156 -2 31 -13.1875\n",
"L23.1875 -13.1875\n",
"Q15.875 -1.70312 12.2344 9.375\n",
"Q8.59375 20.4531 8.59375 31.3906\n",
"Q8.59375 42.2812 12.2031 53.3125\n",
"Q15.8281 64.3594 23.1875 75.875\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-28\"/>\n",
" <path d=\"\n",
"M5.51562 54.6875\n",
"L48.1875 54.6875\n",
"L48.1875 46.4844\n",
"L14.4062 7.17188\n",
"L48.1875 7.17188\n",
"L48.1875 0\n",
"L4.29688 0\n",
"L4.29688 8.20312\n",
"L38.0938 47.5156\n",
"L5.51562 47.5156\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-7a\"/>\n",
" <path d=\"\n",
"M9.42188 54.6875\n",
"L18.4062 54.6875\n",
"L18.4062 0\n",
"L9.42188 0\n",
"z\n",
"\n",
"M9.42188 75.9844\n",
"L18.4062 75.9844\n",
"L18.4062 64.5938\n",
"L9.42188 64.5938\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-69\"/>\n",
" <path d=\"\n",
"M54.8906 33.0156\n",
"L54.8906 0\n",
"L45.9062 0\n",
"L45.9062 32.7188\n",
"Q45.9062 40.4844 42.875 44.3281\n",
"Q39.8438 48.1875 33.7969 48.1875\n",
"Q26.5156 48.1875 22.3125 43.5469\n",
"Q18.1094 38.9219 18.1094 30.9062\n",
"L18.1094 0\n",
"L9.07812 0\n",
"L9.07812 75.9844\n",
"L18.1094 75.9844\n",
"L18.1094 46.1875\n",
"Q21.3438 51.125 25.7031 53.5625\n",
"Q30.0781 56 35.7969 56\n",
"Q45.2188 56 50.0469 50.1719\n",
"Q54.8906 44.3438 54.8906 33.0156\" id=\"BitstreamVeraSans-Roman-68\"/>\n",
" <path d=\"\n",
"M10.5938 45.4062\n",
"L73.1875 45.4062\n",
"L73.1875 37.2031\n",
"L10.5938 37.2031\n",
"z\n",
"\n",
"M10.5938 25.4844\n",
"L73.1875 25.4844\n",
"L73.1875 17.1875\n",
"L10.5938 17.1875\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-3d\"/>\n",
" <path d=\"\n",
"M37.2031 26.2188\n",
"Q37.2031 19.2344 40.6719 15.25\n",
"Q44.1406 11.2812 50.2031 11.2812\n",
"Q56.2031 11.2812 59.6406 15.2812\n",
"Q63.0938 19.2812 63.0938 26.2188\n",
"Q63.0938 33.0625 59.5781 37.0781\n",
"Q56.0625 41.1094 50.0938 41.1094\n",
"Q44.1875 41.1094 40.6875 37.1094\n",
"Q37.2031 33.1094 37.2031 26.2188\n",
"M63.8125 11.625\n",
"Q60.8906 7.85938 57.1094 6.07812\n",
"Q53.3281 4.29688 48.2969 4.29688\n",
"Q39.8906 4.29688 34.6406 10.375\n",
"Q29.3906 16.4531 29.3906 26.2188\n",
"Q29.3906 35.9844 34.6562 42.0781\n",
"Q39.9375 48.1875 48.2969 48.1875\n",
"Q53.3281 48.1875 57.125 46.3594\n",
"Q60.9375 44.5312 63.8125 40.8281\n",
"L63.8125 47.2188\n",
"L70.7969 47.2188\n",
"L70.7969 11.2812\n",
"Q77.9375 12.3594 81.9531 17.7969\n",
"Q85.9844 23.25 85.9844 31.8906\n",
"Q85.9844 37.1094 84.4375 41.7031\n",
"Q82.9062 46.2969 79.7812 50.2031\n",
"Q74.7031 56.5938 67.4062 59.9844\n",
"Q60.1094 63.375 51.5156 63.375\n",
"Q45.5156 63.375 39.9844 61.7812\n",
"Q34.4688 60.2031 29.7812 57.0781\n",
"Q22.125 52.0938 17.7969 44.0156\n",
"Q13.4844 35.9375 13.4844 26.5156\n",
"Q13.4844 18.75 16.2812 11.9531\n",
"Q19.0938 5.17188 24.4219 0\n",
"Q29.5469 -5.07812 36.2812 -7.73438\n",
"Q43.0156 -10.4062 50.6875 -10.4062\n",
"Q56.9844 -10.4062 63.0625 -8.28125\n",
"Q69.1406 -6.15625 74.2188 -2.20312\n",
"L78.6094 -7.625\n",
"Q72.5156 -12.3594 65.3125 -14.875\n",
"Q58.1094 -17.3906 50.6875 -17.3906\n",
"Q41.6562 -17.3906 33.6406 -14.1875\n",
"Q25.6406 -10.9844 19.3906 -4.89062\n",
"Q13.1406 1.21875 9.85938 9.25\n",
"Q6.59375 17.2812 6.59375 26.5156\n",
"Q6.59375 35.4062 9.90625 43.4531\n",
"Q13.2344 51.5156 19.3906 57.625\n",
"Q25.6875 63.8125 33.9375 67.1094\n",
"Q42.1875 70.4062 51.4219 70.4062\n",
"Q61.7656 70.4062 70.625 66.1562\n",
"Q79.5 61.9219 85.5 54.1094\n",
"Q89.1562 49.3125 91.0781 43.7031\n",
"Q93.0156 38.0938 93.0156 32.0781\n",
"Q93.0156 19.2344 85.25 11.8125\n",
"Q77.4844 4.39062 63.8125 4.10938\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-40\"/>\n",
" <path d=\"\n",
"M56.2031 29.5938\n",
"L56.2031 25.2031\n",
"L14.8906 25.2031\n",
"Q15.4844 15.9219 20.4844 11.0625\n",
"Q25.4844 6.20312 34.4219 6.20312\n",
"Q39.5938 6.20312 44.4531 7.46875\n",
"Q49.3125 8.73438 54.1094 11.2812\n",
"L54.1094 2.78125\n",
"Q49.2656 0.734375 44.1875 -0.34375\n",
"Q39.1094 -1.42188 33.8906 -1.42188\n",
"Q20.7969 -1.42188 13.1562 6.1875\n",
"Q5.51562 13.8125 5.51562 26.8125\n",
"Q5.51562 40.2344 12.7656 48.1094\n",
"Q20.0156 56 32.3281 56\n",
"Q43.3594 56 49.7812 48.8906\n",
"Q56.2031 41.7969 56.2031 29.5938\n",
"M47.2188 32.2344\n",
"Q47.125 39.5938 43.0938 43.9844\n",
"Q39.0625 48.3906 32.4219 48.3906\n",
"Q24.9062 48.3906 20.3906 44.1406\n",
"Q15.875 39.8906 15.1875 32.1719\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-65\"/>\n",
" <path d=\"\n",
"M45.4062 46.3906\n",
"L45.4062 75.9844\n",
"L54.3906 75.9844\n",
"L54.3906 0\n",
"L45.4062 0\n",
"L45.4062 8.20312\n",
"Q42.5781 3.32812 38.25 0.953125\n",
"Q33.9375 -1.42188 27.875 -1.42188\n",
"Q17.9688 -1.42188 11.7344 6.48438\n",
"Q5.51562 14.4062 5.51562 27.2969\n",
"Q5.51562 40.1875 11.7344 48.0938\n",
"Q17.9688 56 27.875 56\n",
"Q33.9375 56 38.25 53.625\n",
"Q42.5781 51.2656 45.4062 46.3906\n",
"M14.7969 27.2969\n",
"Q14.7969 17.3906 18.875 11.75\n",
"Q22.9531 6.10938 30.0781 6.10938\n",
"Q37.2031 6.10938 41.2969 11.75\n",
"Q45.4062 17.3906 45.4062 27.2969\n",
"Q45.4062 37.2031 41.2969 42.8438\n",
"Q37.2031 48.4844 30.0781 48.4844\n",
"Q22.9531 48.4844 18.875 42.8438\n",
"Q14.7969 37.2031 14.7969 27.2969\" id=\"BitstreamVeraSans-Roman-64\"/>\n",
" <path d=\"\n",
"M45.4062 27.9844\n",
"Q45.4062 37.75 41.375 43.1094\n",
"Q37.3594 48.4844 30.0781 48.4844\n",
"Q22.8594 48.4844 18.8281 43.1094\n",
"Q14.7969 37.75 14.7969 27.9844\n",
"Q14.7969 18.2656 18.8281 12.8906\n",
"Q22.8594 7.51562 30.0781 7.51562\n",
"Q37.3594 7.51562 41.375 12.8906\n",
"Q45.4062 18.2656 45.4062 27.9844\n",
"M54.3906 6.78125\n",
"Q54.3906 -7.17188 48.1875 -13.9844\n",
"Q42 -20.7969 29.2031 -20.7969\n",
"Q24.4688 -20.7969 20.2656 -20.0938\n",
"Q16.0625 -19.3906 12.1094 -17.9219\n",
"L12.1094 -9.1875\n",
"Q16.0625 -11.3281 19.9219 -12.3438\n",
"Q23.7812 -13.375 27.7812 -13.375\n",
"Q36.625 -13.375 41.0156 -8.76562\n",
"Q45.4062 -4.15625 45.4062 5.17188\n",
"L45.4062 9.625\n",
"Q42.625 4.78125 38.2812 2.39062\n",
"Q33.9375 0 27.875 0\n",
"Q17.8281 0 11.6719 7.65625\n",
"Q5.51562 15.3281 5.51562 27.9844\n",
"Q5.51562 40.6719 11.6719 48.3281\n",
"Q17.8281 56 27.875 56\n",
"Q33.9375 56 38.2812 53.6094\n",
"Q42.625 51.2188 45.4062 46.3906\n",
"L45.4062 54.6875\n",
"L54.3906 54.6875\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-67\"/>\n",
" <path d=\"\n",
"M37.1094 75.9844\n",
"L37.1094 68.5\n",
"L28.5156 68.5\n",
"Q23.6875 68.5 21.7969 66.5469\n",
"Q19.9219 64.5938 19.9219 59.5156\n",
"L19.9219 54.6875\n",
"L34.7188 54.6875\n",
"L34.7188 47.7031\n",
"L19.9219 47.7031\n",
"L19.9219 0\n",
"L10.8906 0\n",
"L10.8906 47.7031\n",
"L2.29688 47.7031\n",
"L2.29688 54.6875\n",
"L10.8906 54.6875\n",
"L10.8906 58.5\n",
"Q10.8906 67.625 15.1406 71.7969\n",
"Q19.3906 75.9844 28.6094 75.9844\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-66\"/>\n",
" <path d=\"\n",
"M34.2812 27.4844\n",
"Q23.3906 27.4844 19.1875 25\n",
"Q14.9844 22.5156 14.9844 16.5\n",
"Q14.9844 11.7188 18.1406 8.90625\n",
"Q21.2969 6.10938 26.7031 6.10938\n",
"Q34.1875 6.10938 38.7031 11.4062\n",
"Q43.2188 16.7031 43.2188 25.4844\n",
"L43.2188 27.4844\n",
"z\n",
"\n",
"M52.2031 31.2031\n",
"L52.2031 0\n",
"L43.2188 0\n",
"L43.2188 8.29688\n",
"Q40.1406 3.32812 35.5469 0.953125\n",
"Q30.9531 -1.42188 24.3125 -1.42188\n",
"Q15.9219 -1.42188 10.9531 3.29688\n",
"Q6 8.01562 6 15.9219\n",
"Q6 25.1406 12.1719 29.8281\n",
"Q18.3594 34.5156 30.6094 34.5156\n",
"L43.2188 34.5156\n",
"L43.2188 35.4062\n",
"Q43.2188 41.6094 39.1406 45\n",
"Q35.0625 48.3906 27.6875 48.3906\n",
"Q23 48.3906 18.5469 47.2656\n",
"Q14.1094 46.1406 10.0156 43.8906\n",
"L10.0156 52.2031\n",
"Q14.9375 54.1094 19.5781 55.0469\n",
"Q24.2188 56 28.6094 56\n",
"Q40.4844 56 46.3438 49.8438\n",
"Q52.2031 43.7031 52.2031 31.2031\" id=\"BitstreamVeraSans-Roman-61\"/>\n",
" <path d=\"\n",
"M48.6875 27.2969\n",
"Q48.6875 37.2031 44.6094 42.8438\n",
"Q40.5312 48.4844 33.4062 48.4844\n",
"Q26.2656 48.4844 22.1875 42.8438\n",
"Q18.1094 37.2031 18.1094 27.2969\n",
"Q18.1094 17.3906 22.1875 11.75\n",
"Q26.2656 6.10938 33.4062 6.10938\n",
"Q40.5312 6.10938 44.6094 11.75\n",
"Q48.6875 17.3906 48.6875 27.2969\n",
"M18.1094 46.3906\n",
"Q20.9531 51.2656 25.2656 53.625\n",
"Q29.5938 56 35.5938 56\n",
"Q45.5625 56 51.7812 48.0938\n",
"Q58.0156 40.1875 58.0156 27.2969\n",
"Q58.0156 14.4062 51.7812 6.48438\n",
"Q45.5625 -1.42188 35.5938 -1.42188\n",
"Q29.5938 -1.42188 25.2656 0.953125\n",
"Q20.9531 3.32812 18.1094 8.20312\n",
"L18.1094 0\n",
"L9.07812 0\n",
"L9.07812 75.9844\n",
"L18.1094 75.9844\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-62\"/>\n",
" <path d=\"\n",
"M54.8906 33.0156\n",
"L54.8906 0\n",
"L45.9062 0\n",
"L45.9062 32.7188\n",
"Q45.9062 40.4844 42.875 44.3281\n",
"Q39.8438 48.1875 33.7969 48.1875\n",
"Q26.5156 48.1875 22.3125 43.5469\n",
"Q18.1094 38.9219 18.1094 30.9062\n",
"L18.1094 0\n",
"L9.07812 0\n",
"L9.07812 54.6875\n",
"L18.1094 54.6875\n",
"L18.1094 46.1875\n",
"Q21.3438 51.125 25.7031 53.5625\n",
"Q30.0781 56 35.7969 56\n",
"Q45.2188 56 50.0469 50.1719\n",
"Q54.8906 44.3438 54.8906 33.0156\" id=\"BitstreamVeraSans-Roman-6e\"/>\n",
" <path d=\"\n",
"M30.6094 48.3906\n",
"Q23.3906 48.3906 19.1875 42.75\n",
"Q14.9844 37.1094 14.9844 27.2969\n",
"Q14.9844 17.4844 19.1562 11.8438\n",
"Q23.3438 6.20312 30.6094 6.20312\n",
"Q37.7969 6.20312 41.9844 11.8594\n",
"Q46.1875 17.5312 46.1875 27.2969\n",
"Q46.1875 37.0156 41.9844 42.7031\n",
"Q37.7969 48.3906 30.6094 48.3906\n",
"M30.6094 56\n",
"Q42.3281 56 49.0156 48.375\n",
"Q55.7188 40.7656 55.7188 27.2969\n",
"Q55.7188 13.875 49.0156 6.21875\n",
"Q42.3281 -1.42188 30.6094 -1.42188\n",
"Q18.8438 -1.42188 12.1719 6.21875\n",
"Q5.51562 13.875 5.51562 27.2969\n",
"Q5.51562 40.7656 12.1719 48.375\n",
"Q18.8438 56 30.6094 56\" id=\"BitstreamVeraSans-Roman-6f\"/>\n",
" <path d=\"\n",
"M9.42188 75.9844\n",
"L18.4062 75.9844\n",
"L18.4062 0\n",
"L9.42188 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-6c\"/>\n",
" <path d=\"\n",
"M-0.296875 72.9062\n",
"L61.375 72.9062\n",
"L61.375 64.5938\n",
"L35.5 64.5938\n",
"L35.5 0\n",
"L25.5938 0\n",
"L25.5938 64.5938\n",
"L-0.296875 64.5938\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-54\"/>\n",
" <path d=\"\n",
"M2.98438 54.6875\n",
"L12.5 54.6875\n",
"L29.5938 8.79688\n",
"L46.6875 54.6875\n",
"L56.2031 54.6875\n",
"L35.6875 0\n",
"L23.4844 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-76\"/>\n",
" <path d=\"\n",
"M18.3125 70.2188\n",
"L18.3125 54.6875\n",
"L36.8125 54.6875\n",
"L36.8125 47.7031\n",
"L18.3125 47.7031\n",
"L18.3125 18.0156\n",
"Q18.3125 11.3281 20.1406 9.42188\n",
"Q21.9688 7.51562 27.5938 7.51562\n",
"L36.8125 7.51562\n",
"L36.8125 0\n",
"L27.5938 0\n",
"Q17.1875 0 13.2344 3.875\n",
"Q9.28125 7.76562 9.28125 18.0156\n",
"L9.28125 47.7031\n",
"L2.6875 47.7031\n",
"L2.6875 54.6875\n",
"L9.28125 54.6875\n",
"L9.28125 70.2188\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-74\"/>\n",
" <path d=\"\n",
"M8.5 21.5781\n",
"L8.5 54.6875\n",
"L17.4844 54.6875\n",
"L17.4844 21.9219\n",
"Q17.4844 14.1562 20.5 10.2656\n",
"Q23.5312 6.39062 29.5938 6.39062\n",
"Q36.8594 6.39062 41.0781 11.0312\n",
"Q45.3125 15.6719 45.3125 23.6875\n",
"L45.3125 54.6875\n",
"L54.2969 54.6875\n",
"L54.2969 0\n",
"L45.3125 0\n",
"L45.3125 8.40625\n",
"Q42.0469 3.42188 37.7188 1\n",
"Q33.4062 -1.42188 27.6875 -1.42188\n",
"Q18.2656 -1.42188 13.375 4.4375\n",
"Q8.5 10.2969 8.5 21.5781\" id=\"BitstreamVeraSans-Roman-75\"/>\n",
" <path d=\"\n",
"M41.1094 46.2969\n",
"Q39.5938 47.1719 37.8125 47.5781\n",
"Q36.0312 48 33.8906 48\n",
"Q26.2656 48 22.1875 43.0469\n",
"Q18.1094 38.0938 18.1094 28.8125\n",
"L18.1094 0\n",
"L9.07812 0\n",
"L9.07812 54.6875\n",
"L18.1094 54.6875\n",
"L18.1094 46.1875\n",
"Q20.9531 51.1719 25.4844 53.5781\n",
"Q30.0312 56 36.5312 56\n",
"Q37.4531 56 38.5781 55.875\n",
"Q39.7031 55.7656 41.0625 55.5156\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-72\"/>\n",
" <path d=\"\n",
"M44.2812 53.0781\n",
"L44.2812 44.5781\n",
"Q40.4844 46.5312 36.375 47.5\n",
"Q32.2812 48.4844 27.875 48.4844\n",
"Q21.1875 48.4844 17.8438 46.4375\n",
"Q14.5 44.3906 14.5 40.2812\n",
"Q14.5 37.1562 16.8906 35.375\n",
"Q19.2812 33.5938 26.5156 31.9844\n",
"L29.5938 31.2969\n",
"Q39.1562 29.25 43.1875 25.5156\n",
"Q47.2188 21.7812 47.2188 15.0938\n",
"Q47.2188 7.46875 41.1875 3.01562\n",
"Q35.1562 -1.42188 24.6094 -1.42188\n",
"Q20.2188 -1.42188 15.4531 -0.5625\n",
"Q10.6875 0.296875 5.42188 2\n",
"L5.42188 11.2812\n",
"Q10.4062 8.6875 15.2344 7.39062\n",
"Q20.0625 6.10938 24.8125 6.10938\n",
"Q31.1562 6.10938 34.5625 8.28125\n",
"Q37.9844 10.4531 37.9844 14.4062\n",
"Q37.9844 18.0625 35.5156 20.0156\n",
"Q33.0625 21.9688 24.7031 23.7812\n",
"L21.5781 24.5156\n",
"Q13.2344 26.2656 9.51562 29.9062\n",
"Q5.8125 33.5469 5.8125 39.8906\n",
"Q5.8125 47.6094 11.2812 51.7969\n",
"Q16.75 56 26.8125 56\n",
"Q31.7812 56 36.1719 55.2656\n",
"Q40.5781 54.5469 44.2812 53.0781\" id=\"BitstreamVeraSans-Roman-73\"/>\n",
" <path d=\"\n",
"M18.1094 8.20312\n",
"L18.1094 -20.7969\n",
"L9.07812 -20.7969\n",
"L9.07812 54.6875\n",
"L18.1094 54.6875\n",
"L18.1094 46.3906\n",
"Q20.9531 51.2656 25.2656 53.625\n",
"Q29.5938 56 35.5938 56\n",
"Q45.5625 56 51.7812 48.0938\n",
"Q58.0156 40.1875 58.0156 27.2969\n",
"Q58.0156 14.4062 51.7812 6.48438\n",
"Q45.5625 -1.42188 35.5938 -1.42188\n",
"Q29.5938 -1.42188 25.2656 0.953125\n",
"Q20.9531 3.32812 18.1094 8.20312\n",
"M48.6875 27.2969\n",
"Q48.6875 37.2031 44.6094 42.8438\n",
"Q40.5312 48.4844 33.4062 48.4844\n",
"Q26.2656 48.4844 22.1875 42.8438\n",
"Q18.1094 37.2031 18.1094 27.2969\n",
"Q18.1094 17.3906 22.1875 11.75\n",
"Q26.2656 6.10938 33.4062 6.10938\n",
"Q40.5312 6.10938 44.6094 11.75\n",
"Q48.6875 17.3906 48.6875 27.2969\" id=\"BitstreamVeraSans-Roman-70\"/>\n",
" </defs>\n",
" <g transform=\"translate(71.997375 18.14175)scale(0.144 -0.144)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-53\"/>\n",
" <use x=\"63.4765625\" xlink:href=\"#BitstreamVeraSans-Roman-6f\"/>\n",
" <use x=\"124.658203125\" xlink:href=\"#BitstreamVeraSans-Roman-66\"/>\n",
" <use x=\"158.11328125\" xlink:href=\"#BitstreamVeraSans-Roman-74\"/>\n",
" <use x=\"197.322265625\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"229.109375\" xlink:href=\"#BitstreamVeraSans-Roman-61\"/>\n",
" <use x=\"290.388671875\" xlink:href=\"#BitstreamVeraSans-Roman-76\"/>\n",
" <use x=\"349.568359375\" xlink:href=\"#BitstreamVeraSans-Roman-67\"/>\n",
" <use x=\"413.044921875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"444.83203125\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"476.619140625\" xlink:href=\"#BitstreamVeraSans-Roman-28\"/>\n",
" <use x=\"515.6328125\" xlink:href=\"#BitstreamVeraSans-Roman-72\"/>\n",
" <use x=\"554.49609375\" xlink:href=\"#BitstreamVeraSans-Roman-65\"/>\n",
" <use x=\"616.01953125\" xlink:href=\"#BitstreamVeraSans-Roman-64\"/>\n",
" <use x=\"679.49609375\" xlink:href=\"#BitstreamVeraSans-Roman-29\"/>\n",
" <use x=\"718.509765625\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"750.296875\" xlink:href=\"#BitstreamVeraSans-Roman-76\"/>\n",
" <use x=\"809.4765625\" xlink:href=\"#BitstreamVeraSans-Roman-73\"/>\n",
" <use x=\"861.576171875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"893.36328125\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"925.150390625\" xlink:href=\"#BitstreamVeraSans-Roman-54\"/>\n",
" <use x=\"986.234375\" xlink:href=\"#BitstreamVeraSans-Roman-68\"/>\n",
" <use x=\"1049.61328125\" xlink:href=\"#BitstreamVeraSans-Roman-72\"/>\n",
" <use x=\"1088.4765625\" xlink:href=\"#BitstreamVeraSans-Roman-65\"/>\n",
" <use x=\"1150.0\" xlink:href=\"#BitstreamVeraSans-Roman-73\"/>\n",
" <use x=\"1202.09960938\" xlink:href=\"#BitstreamVeraSans-Roman-68\"/>\n",
" <use x=\"1265.47851562\" xlink:href=\"#BitstreamVeraSans-Roman-6f\"/>\n",
" <use x=\"1326.66015625\" xlink:href=\"#BitstreamVeraSans-Roman-6c\"/>\n",
" <use x=\"1354.44335938\" xlink:href=\"#BitstreamVeraSans-Roman-64\"/>\n",
" <use x=\"1417.91992188\" xlink:href=\"#BitstreamVeraSans-Roman-69\"/>\n",
" <use x=\"1445.703125\" xlink:href=\"#BitstreamVeraSans-Roman-6e\"/>\n",
" <use x=\"1509.08203125\" xlink:href=\"#BitstreamVeraSans-Roman-67\"/>\n",
" <use x=\"1572.55859375\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"1604.34570312\" xlink:href=\"#BitstreamVeraSans-Roman-28\"/>\n",
" <use x=\"1643.359375\" xlink:href=\"#BitstreamVeraSans-Roman-62\"/>\n",
" <use x=\"1706.8359375\" xlink:href=\"#BitstreamVeraSans-Roman-6c\"/>\n",
" <use x=\"1734.61914062\" xlink:href=\"#BitstreamVeraSans-Roman-75\"/>\n",
" <use x=\"1797.99804688\" xlink:href=\"#BitstreamVeraSans-Roman-65\"/>\n",
" <use x=\"1859.52148438\" xlink:href=\"#BitstreamVeraSans-Roman-29\"/>\n",
" <use x=\"1898.53515625\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"1930.32226562\" xlink:href=\"#BitstreamVeraSans-Roman-40\"/>\n",
" <use x=\"2030.32226562\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"2062.109375\" xlink:href=\"#BitstreamVeraSans-Roman-31\"/>\n",
" <use x=\"2125.73242188\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"2189.35546875\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"2252.97851562\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"2284.765625\" xlink:href=\"#BitstreamVeraSans-Roman-72\"/>\n",
" <use x=\"2323.62890625\" xlink:href=\"#BitstreamVeraSans-Roman-65\"/>\n",
" <use x=\"2385.15234375\" xlink:href=\"#BitstreamVeraSans-Roman-70\"/>\n",
" <use x=\"2448.62890625\" xlink:href=\"#BitstreamVeraSans-Roman-73\"/>\n",
" <use x=\"2500.72851562\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"2532.515625\" xlink:href=\"#BitstreamVeraSans-Roman-28\"/>\n",
" <use x=\"2571.52929688\" xlink:href=\"#BitstreamVeraSans-Roman-7a\"/>\n",
" <use x=\"2624.01953125\" xlink:href=\"#BitstreamVeraSans-Roman-3d\"/>\n",
" <use x=\"2707.80859375\" xlink:href=\"#BitstreamVeraSans-Roman-31\"/>\n",
" <use x=\"2771.43164062\" xlink:href=\"#BitstreamVeraSans-Roman-29\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <defs>\n",
" <clipPath id=\"pbd07871eb9\">\n",
" <rect height=\"345.6\" width=\"446.4\" x=\"50.53125\" y=\"23.14175\"/>\n",
" </clipPath>\n",
" </defs>\n",
"</svg>\n"
],
"text": [
"Figure(PyObject <matplotlib.figure.Figure object at 0x14a95f410>)"
]
}
],
"prompt_number": 103
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"fill_between(SNRs,vec(zz_soft_mse[1,1,:]-zz_soft_mse[1,2,:]),vec(zz_soft_mse[1,1,:]+zz_soft_mse[1,3,:]),facecolor=\"red\",alpha=.5);\n",
"plot(SNRs,vec(zz_soft_mse[1,1,:]),\"r-\")\n",
"fill_between(SNRs,vec(zz_hard_mse[1,1,:]-zz_hard_mse[1,2,:]),vec(zz_hard_mse[1,1,:]+zz_hard_mse[1,3,:]),facecolor=\"blue\",alpha=.5);\n",
"plot(SNRs,vec(zz_hard_mse[1,1,:]),\"b-\")\n",
"xlabel(\"SNR\");\n",
"ylabel(\"MSE\");\n",
"title(\"Soft avg. (red) vs. Thresholding (blue) @ 100 reps (z=0)\");"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": "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",
"svg": [
"<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n",
"<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n",
" \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n",
"<!-- Created with matplotlib (http://matplotlib.org/) -->\n",
"<svg height=\"403pt\" version=\"1.1\" viewBox=\"0 0 520 403\" width=\"520pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n",
" <defs>\n",
" <style type=\"text/css\">\n",
"*{stroke-linecap:square;stroke-linejoin:round;}\n",
" </style>\n",
" </defs>\n",
" <g id=\"figure_1\">\n",
" <g id=\"patch_1\">\n",
" <path d=\"\n",
"M0 403.095\n",
"L520.221 403.095\n",
"L520.221 0\n",
"L0 0\n",
"z\n",
"\" style=\"fill:#ffffff;\"/>\n",
" </g>\n",
" <g id=\"axes_1\">\n",
" <g id=\"patch_2\">\n",
" <path d=\"\n",
"M58.0425 368.742\n",
"L504.442 368.742\n",
"L504.442 23.1417\n",
"L58.0425 23.1417\n",
"z\n",
"\" style=\"fill:#ffffff;\"/>\n",
" </g>\n",
" <g id=\"PolyCollection_1\">\n",
" <defs>\n",
" <path d=\"\n",
"M58.0425 -311.999\n",
"L58.0425 -273.866\n",
"L107.642 -186.728\n",
"L157.243 -153.107\n",
"L206.842 -126.668\n",
"L256.442 -112.001\n",
"L306.042 -96.8972\n",
"L355.642 -89.1765\n",
"L405.242 -82.6692\n",
"L454.842 -77.3603\n",
"L504.442 -74.5381\n",
"L504.442 -89.8218\n",
"L504.442 -89.8218\n",
"L454.842 -92.8935\n",
"L405.242 -99.0762\n",
"L355.642 -106.478\n",
"L306.042 -114.733\n",
"L256.442 -131.721\n",
"L206.842 -148.086\n",
"L157.243 -177.989\n",
"L107.642 -215.778\n",
"L58.0425 -311.999\n",
"z\n",
"\" id=\"C0_0_fb7ec410c4\"/>\n",
" </defs>\n",
" <g clip-path=\"url(#pe76a59947c)\">\n",
" <use style=\"fill:#ff0000;opacity:0.5;stroke:#000000;stroke-linecap:butt;\" x=\"0\" xlink:href=\"#C0_0_fb7ec410c4\" y=\"403.0955\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"PolyCollection_2\">\n",
" <defs>\n",
" <path d=\"\n",
"M58.0425 -357.04\n",
"L58.0425 -315.471\n",
"L107.642 -196.472\n",
"L157.243 -151.734\n",
"L206.842 -113.764\n",
"L256.442 -94.0579\n",
"L306.042 -78.8464\n",
"L355.642 -69.9461\n",
"L405.242 -63.0106\n",
"L454.842 -55.9364\n",
"L504.442 -52.095\n",
"L504.442 -64.3371\n",
"L504.442 -64.3371\n",
"L454.842 -68.9554\n",
"L405.242 -76.8081\n",
"L355.642 -84.5948\n",
"L306.042 -94.5187\n",
"L256.442 -111.654\n",
"L206.842 -133.984\n",
"L157.243 -176.248\n",
"L107.642 -226.458\n",
"L58.0425 -357.04\n",
"z\n",
"\" id=\"C1_0_0ca0ed3397\"/>\n",
" </defs>\n",
" <g clip-path=\"url(#pe76a59947c)\">\n",
" <use style=\"fill:#0000ff;opacity:0.5;stroke:#000000;stroke-linecap:butt;\" x=\"0\" xlink:href=\"#C1_0_0ca0ed3397\" y=\"403.0955\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_1\">\n",
" <path clip-path=\"url(#pe76a59947c)\" d=\"\n",
"M58.0425 94.4614\n",
"L107.642 189.938\n",
"L157.243 227.3\n",
"L206.842 256.98\n",
"L256.442 273.152\n",
"L306.042 290.057\n",
"L355.642 298.182\n",
"L405.242 305.54\n",
"L454.842 311.614\n",
"L504.442 314.684\" style=\"fill:none;stroke:#ff0000;\"/>\n",
" </g>\n",
" <g id=\"line2d_2\">\n",
" <path clip-path=\"url(#pe76a59947c)\" d=\"\n",
"M58.0425 49.7965\n",
"L107.642 179.312\n",
"L157.243 228.964\n",
"L206.842 270.92\n",
"L256.442 293.036\n",
"L306.042 310.047\n",
"L355.642 319.827\n",
"L405.242 327.579\n",
"L454.842 335.304\n",
"L504.442 339.895\" style=\"fill:none;stroke:#0000ff;\"/>\n",
" </g>\n",
" <g id=\"matplotlib.axis_1\">\n",
" <g id=\"xtick_1\">\n",
" <g id=\"line2d_3\">\n",
" <defs>\n",
" <path d=\"\n",
"M0 0\n",
"L0 -4\" id=\"mcb557df647\" style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\"/>\n",
" </defs>\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"58.0425\" xlink:href=\"#mcb557df647\" y=\"368.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_4\">\n",
" <defs>\n",
" <path d=\"\n",
"M0 0\n",
"L0 4\" id=\"mdad270ee8e\" style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\"/>\n",
" </defs>\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"58.0425\" xlink:href=\"#mdad270ee8e\" y=\"23.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_1\">\n",
" <!-- 0.5 -->\n",
" <defs>\n",
" <path d=\"\n",
"M31.7812 66.4062\n",
"Q24.1719 66.4062 20.3281 58.9062\n",
"Q16.5 51.4219 16.5 36.375\n",
"Q16.5 21.3906 20.3281 13.8906\n",
"Q24.1719 6.39062 31.7812 6.39062\n",
"Q39.4531 6.39062 43.2812 13.8906\n",
"Q47.125 21.3906 47.125 36.375\n",
"Q47.125 51.4219 43.2812 58.9062\n",
"Q39.4531 66.4062 31.7812 66.4062\n",
"M31.7812 74.2188\n",
"Q44.0469 74.2188 50.5156 64.5156\n",
"Q56.9844 54.8281 56.9844 36.375\n",
"Q56.9844 17.9688 50.5156 8.26562\n",
"Q44.0469 -1.42188 31.7812 -1.42188\n",
"Q19.5312 -1.42188 13.0625 8.26562\n",
"Q6.59375 17.9688 6.59375 36.375\n",
"Q6.59375 54.8281 13.0625 64.5156\n",
"Q19.5312 74.2188 31.7812 74.2188\" id=\"BitstreamVeraSans-Roman-30\"/>\n",
" <path d=\"\n",
"M10.6875 12.4062\n",
"L21 12.4062\n",
"L21 0\n",
"L10.6875 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-2e\"/>\n",
" <path d=\"\n",
"M10.7969 72.9062\n",
"L49.5156 72.9062\n",
"L49.5156 64.5938\n",
"L19.8281 64.5938\n",
"L19.8281 46.7344\n",
"Q21.9688 47.4688 24.1094 47.8281\n",
"Q26.2656 48.1875 28.4219 48.1875\n",
"Q40.625 48.1875 47.75 41.5\n",
"Q54.8906 34.8125 54.8906 23.3906\n",
"Q54.8906 11.625 47.5625 5.09375\n",
"Q40.2344 -1.42188 26.9062 -1.42188\n",
"Q22.3125 -1.42188 17.5469 -0.640625\n",
"Q12.7969 0.140625 7.71875 1.70312\n",
"L7.71875 11.625\n",
"Q12.1094 9.23438 16.7969 8.0625\n",
"Q21.4844 6.89062 26.7031 6.89062\n",
"Q35.1562 6.89062 40.0781 11.3281\n",
"Q45.0156 15.7656 45.0156 23.3906\n",
"Q45.0156 31 40.0781 35.4375\n",
"Q35.1562 39.8906 26.7031 39.8906\n",
"Q22.75 39.8906 18.8125 39.0156\n",
"Q14.8906 38.1406 10.7969 36.2812\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-35\"/>\n",
" </defs>\n",
" <g transform=\"translate(49.4203125 381.648)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-35\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_2\">\n",
" <g id=\"line2d_5\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"169.6425\" xlink:href=\"#mcb557df647\" y=\"368.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_6\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"169.6425\" xlink:href=\"#mdad270ee8e\" y=\"23.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_2\">\n",
" <!-- 1.0 -->\n",
" <defs>\n",
" <path d=\"\n",
"M12.4062 8.29688\n",
"L28.5156 8.29688\n",
"L28.5156 63.9219\n",
"L10.9844 60.4062\n",
"L10.9844 69.3906\n",
"L28.4219 72.9062\n",
"L38.2812 72.9062\n",
"L38.2812 8.29688\n",
"L54.3906 8.29688\n",
"L54.3906 0\n",
"L12.4062 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-31\"/>\n",
" </defs>\n",
" <g transform=\"translate(161.158125 381.648)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-31\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_3\">\n",
" <g id=\"line2d_7\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"281.2425\" xlink:href=\"#mcb557df647\" y=\"368.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_8\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"281.2425\" xlink:href=\"#mdad270ee8e\" y=\"23.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_3\">\n",
" <!-- 1.5 -->\n",
" <g transform=\"translate(272.88375 381.4905)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-31\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-35\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_4\">\n",
" <g id=\"line2d_9\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"392.8425\" xlink:href=\"#mcb557df647\" y=\"368.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_10\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"392.8425\" xlink:href=\"#mdad270ee8e\" y=\"23.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_4\">\n",
" <!-- 2.0 -->\n",
" <defs>\n",
" <path d=\"\n",
"M19.1875 8.29688\n",
"L53.6094 8.29688\n",
"L53.6094 0\n",
"L7.32812 0\n",
"L7.32812 8.29688\n",
"Q12.9375 14.1094 22.625 23.8906\n",
"Q32.3281 33.6875 34.8125 36.5312\n",
"Q39.5469 41.8438 41.4219 45.5312\n",
"Q43.3125 49.2188 43.3125 52.7812\n",
"Q43.3125 58.5938 39.2344 62.25\n",
"Q35.1562 65.9219 28.6094 65.9219\n",
"Q23.9688 65.9219 18.8125 64.3125\n",
"Q13.6719 62.7031 7.8125 59.4219\n",
"L7.8125 69.3906\n",
"Q13.7656 71.7812 18.9375 73\n",
"Q24.125 74.2188 28.4219 74.2188\n",
"Q39.75 74.2188 46.4844 68.5469\n",
"Q53.2188 62.8906 53.2188 53.4219\n",
"Q53.2188 48.9219 51.5312 44.8906\n",
"Q49.8594 40.875 45.4062 35.4062\n",
"Q44.1875 33.9844 37.6406 27.2188\n",
"Q31.1094 20.4531 19.1875 8.29688\" id=\"BitstreamVeraSans-Roman-32\"/>\n",
" </defs>\n",
" <g transform=\"translate(384.13875 381.648)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-32\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_5\">\n",
" <g id=\"line2d_11\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"504.4425\" xlink:href=\"#mcb557df647\" y=\"368.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_12\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"504.4425\" xlink:href=\"#mdad270ee8e\" y=\"23.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_5\">\n",
" <!-- 2.5 -->\n",
" <g transform=\"translate(495.864375 381.648)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-32\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-35\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_6\">\n",
" <!-- SNR -->\n",
" <defs>\n",
" <path d=\"\n",
"M9.8125 72.9062\n",
"L23.0938 72.9062\n",
"L55.4219 11.9219\n",
"L55.4219 72.9062\n",
"L64.9844 72.9062\n",
"L64.9844 0\n",
"L51.7031 0\n",
"L19.3906 60.9844\n",
"L19.3906 0\n",
"L9.8125 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-4e\"/>\n",
" <path d=\"\n",
"M53.5156 70.5156\n",
"L53.5156 60.8906\n",
"Q47.9062 63.5781 42.9219 64.8906\n",
"Q37.9375 66.2188 33.2969 66.2188\n",
"Q25.25 66.2188 20.875 63.0938\n",
"Q16.5 59.9688 16.5 54.2031\n",
"Q16.5 49.3594 19.4062 46.8906\n",
"Q22.3125 44.4375 30.4219 42.9219\n",
"L36.375 41.7031\n",
"Q47.4062 39.5938 52.6562 34.2969\n",
"Q57.9062 29 57.9062 20.125\n",
"Q57.9062 9.51562 50.7969 4.04688\n",
"Q43.7031 -1.42188 29.9844 -1.42188\n",
"Q24.8125 -1.42188 18.9688 -0.25\n",
"Q13.1406 0.921875 6.89062 3.21875\n",
"L6.89062 13.375\n",
"Q12.8906 10.0156 18.6562 8.29688\n",
"Q24.4219 6.59375 29.9844 6.59375\n",
"Q38.4219 6.59375 43.0156 9.90625\n",
"Q47.6094 13.2344 47.6094 19.3906\n",
"Q47.6094 24.75 44.3125 27.7812\n",
"Q41.0156 30.8125 33.5 32.3281\n",
"L27.4844 33.5\n",
"Q16.4531 35.6875 11.5156 40.375\n",
"Q6.59375 45.0625 6.59375 53.4219\n",
"Q6.59375 63.0938 13.4062 68.6562\n",
"Q20.2188 74.2188 32.1719 74.2188\n",
"Q37.3125 74.2188 42.625 73.2812\n",
"Q47.9531 72.3594 53.5156 70.5156\" id=\"BitstreamVeraSans-Roman-53\"/>\n",
" <path d=\"\n",
"M44.3906 34.1875\n",
"Q47.5625 33.1094 50.5625 29.5938\n",
"Q53.5625 26.0781 56.5938 19.9219\n",
"L66.6094 0\n",
"L56 0\n",
"L46.6875 18.7031\n",
"Q43.0625 26.0312 39.6719 28.4219\n",
"Q36.2812 30.8125 30.4219 30.8125\n",
"L19.6719 30.8125\n",
"L19.6719 0\n",
"L9.8125 0\n",
"L9.8125 72.9062\n",
"L32.0781 72.9062\n",
"Q44.5781 72.9062 50.7344 67.6719\n",
"Q56.8906 62.4531 56.8906 51.9062\n",
"Q56.8906 45.0156 53.6875 40.4688\n",
"Q50.4844 35.9375 44.3906 34.1875\n",
"M19.6719 64.7969\n",
"L19.6719 38.9219\n",
"L32.0781 38.9219\n",
"Q39.2031 38.9219 42.8438 42.2188\n",
"Q46.4844 45.5156 46.4844 51.9062\n",
"Q46.4844 58.2969 42.8438 61.5469\n",
"Q39.2031 64.7969 32.0781 64.7969\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-52\"/>\n",
" </defs>\n",
" <g transform=\"translate(269.34375 395.724875)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-53\"/>\n",
" <use x=\"63.4765625\" xlink:href=\"#BitstreamVeraSans-Roman-4e\"/>\n",
" <use x=\"138.28125\" xlink:href=\"#BitstreamVeraSans-Roman-52\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"matplotlib.axis_2\">\n",
" <g id=\"ytick_1\">\n",
" <g id=\"line2d_13\">\n",
" <defs>\n",
" <path d=\"\n",
"M0 0\n",
"L4 0\" id=\"mc8fcea1516\" style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\"/>\n",
" </defs>\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"58.0425\" xlink:href=\"#mc8fcea1516\" y=\"368.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_14\">\n",
" <defs>\n",
" <path d=\"\n",
"M0 0\n",
"L-4 0\" id=\"m0d5b0a6425\" style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\"/>\n",
" </defs>\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"504.4425\" xlink:href=\"#m0d5b0a6425\" y=\"368.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_7\">\n",
" <!-- 0.010 -->\n",
" <g transform=\"translate(21.276875 373.1095625)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-31\"/>\n",
" <use x=\"222.65625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_2\">\n",
" <g id=\"line2d_15\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"58.0425\" xlink:href=\"#mc8fcea1516\" y=\"325.54175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_16\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"504.4425\" xlink:href=\"#m0d5b0a6425\" y=\"325.54175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_8\">\n",
" <!-- 0.015 -->\n",
" <g transform=\"translate(21.528125 329.9095625)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-31\"/>\n",
" <use x=\"222.65625\" xlink:href=\"#BitstreamVeraSans-Roman-35\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_3\">\n",
" <g id=\"line2d_17\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"58.0425\" xlink:href=\"#mc8fcea1516\" y=\"282.34175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_18\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"504.4425\" xlink:href=\"#m0d5b0a6425\" y=\"282.34175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_9\">\n",
" <!-- 0.020 -->\n",
" <g transform=\"translate(21.276875 286.7095625)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-32\"/>\n",
" <use x=\"222.65625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_4\">\n",
" <g id=\"line2d_19\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"58.0425\" xlink:href=\"#mc8fcea1516\" y=\"239.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_20\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"504.4425\" xlink:href=\"#m0d5b0a6425\" y=\"239.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_10\">\n",
" <!-- 0.025 -->\n",
" <g transform=\"translate(21.528125 243.5095625)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-32\"/>\n",
" <use x=\"222.65625\" xlink:href=\"#BitstreamVeraSans-Roman-35\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_5\">\n",
" <g id=\"line2d_21\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"58.0425\" xlink:href=\"#mc8fcea1516\" y=\"195.94175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_22\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"504.4425\" xlink:href=\"#m0d5b0a6425\" y=\"195.94175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_11\">\n",
" <!-- 0.030 -->\n",
" <defs>\n",
" <path d=\"\n",
"M40.5781 39.3125\n",
"Q47.6562 37.7969 51.625 33\n",
"Q55.6094 28.2188 55.6094 21.1875\n",
"Q55.6094 10.4062 48.1875 4.48438\n",
"Q40.7656 -1.42188 27.0938 -1.42188\n",
"Q22.5156 -1.42188 17.6562 -0.515625\n",
"Q12.7969 0.390625 7.625 2.20312\n",
"L7.625 11.7188\n",
"Q11.7188 9.32812 16.5938 8.10938\n",
"Q21.4844 6.89062 26.8125 6.89062\n",
"Q36.0781 6.89062 40.9375 10.5469\n",
"Q45.7969 14.2031 45.7969 21.1875\n",
"Q45.7969 27.6406 41.2812 31.2656\n",
"Q36.7656 34.9062 28.7188 34.9062\n",
"L20.2188 34.9062\n",
"L20.2188 43.0156\n",
"L29.1094 43.0156\n",
"Q36.375 43.0156 40.2344 45.9219\n",
"Q44.0938 48.8281 44.0938 54.2969\n",
"Q44.0938 59.9062 40.1094 62.9062\n",
"Q36.1406 65.9219 28.7188 65.9219\n",
"Q24.6562 65.9219 20.0156 65.0312\n",
"Q15.375 64.1562 9.8125 62.3125\n",
"L9.8125 71.0938\n",
"Q15.4375 72.6562 20.3438 73.4375\n",
"Q25.25 74.2188 29.5938 74.2188\n",
"Q40.8281 74.2188 47.3594 69.1094\n",
"Q53.9062 64.0156 53.9062 55.3281\n",
"Q53.9062 49.2656 50.4375 45.0938\n",
"Q46.9688 40.9219 40.5781 39.3125\" id=\"BitstreamVeraSans-Roman-33\"/>\n",
" </defs>\n",
" <g transform=\"translate(21.276875 200.3095625)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-33\"/>\n",
" <use x=\"222.65625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_6\">\n",
" <g id=\"line2d_23\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"58.0425\" xlink:href=\"#mc8fcea1516\" y=\"152.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_24\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"504.4425\" xlink:href=\"#m0d5b0a6425\" y=\"152.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_12\">\n",
" <!-- 0.035 -->\n",
" <g transform=\"translate(21.528125 157.1095625)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-33\"/>\n",
" <use x=\"222.65625\" xlink:href=\"#BitstreamVeraSans-Roman-35\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_7\">\n",
" <g id=\"line2d_25\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"58.0425\" xlink:href=\"#mc8fcea1516\" y=\"109.54175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_26\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"504.4425\" xlink:href=\"#m0d5b0a6425\" y=\"109.54175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_13\">\n",
" <!-- 0.040 -->\n",
" <defs>\n",
" <path d=\"\n",
"M37.7969 64.3125\n",
"L12.8906 25.3906\n",
"L37.7969 25.3906\n",
"z\n",
"\n",
"M35.2031 72.9062\n",
"L47.6094 72.9062\n",
"L47.6094 25.3906\n",
"L58.0156 25.3906\n",
"L58.0156 17.1875\n",
"L47.6094 17.1875\n",
"L47.6094 0\n",
"L37.7969 0\n",
"L37.7969 17.1875\n",
"L4.89062 17.1875\n",
"L4.89062 26.7031\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-34\"/>\n",
" </defs>\n",
" <g transform=\"translate(21.276875 113.9095625)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-34\"/>\n",
" <use x=\"222.65625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_8\">\n",
" <g id=\"line2d_27\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"58.0425\" xlink:href=\"#mc8fcea1516\" y=\"66.34175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_28\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"504.4425\" xlink:href=\"#m0d5b0a6425\" y=\"66.34175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_14\">\n",
" <!-- 0.045 -->\n",
" <g transform=\"translate(21.528125 70.7095625)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-34\"/>\n",
" <use x=\"222.65625\" xlink:href=\"#BitstreamVeraSans-Roman-35\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_9\">\n",
" <g id=\"line2d_29\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"58.0425\" xlink:href=\"#mc8fcea1516\" y=\"23.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_30\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"504.4425\" xlink:href=\"#m0d5b0a6425\" y=\"23.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_15\">\n",
" <!-- 0.050 -->\n",
" <g transform=\"translate(21.276875 27.5095625)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-35\"/>\n",
" <use x=\"222.65625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_16\">\n",
" <!-- MSE -->\n",
" <defs>\n",
" <path d=\"\n",
"M9.8125 72.9062\n",
"L55.9062 72.9062\n",
"L55.9062 64.5938\n",
"L19.6719 64.5938\n",
"L19.6719 43.0156\n",
"L54.3906 43.0156\n",
"L54.3906 34.7188\n",
"L19.6719 34.7188\n",
"L19.6719 8.29688\n",
"L56.7812 8.29688\n",
"L56.7812 0\n",
"L9.8125 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-45\"/>\n",
" <path d=\"\n",
"M9.8125 72.9062\n",
"L24.5156 72.9062\n",
"L43.1094 23.2969\n",
"L61.8125 72.9062\n",
"L76.5156 72.9062\n",
"L76.5156 0\n",
"L66.8906 0\n",
"L66.8906 64.0156\n",
"L48.0938 14.0156\n",
"L38.1875 14.0156\n",
"L19.3906 64.0156\n",
"L19.3906 0\n",
"L9.8125 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-4d\"/>\n",
" </defs>\n",
" <g transform=\"translate(16.276875 207.5751875)rotate(-90.0)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-4d\"/>\n",
" <use x=\"86.279296875\" xlink:href=\"#BitstreamVeraSans-Roman-53\"/>\n",
" <use x=\"149.755859375\" xlink:href=\"#BitstreamVeraSans-Roman-45\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"patch_3\">\n",
" <path d=\"\n",
"M58.0425 23.1417\n",
"L504.442 23.1417\" style=\"fill:none;stroke:#000000;\"/>\n",
" </g>\n",
" <g id=\"patch_4\">\n",
" <path d=\"\n",
"M504.442 368.742\n",
"L504.442 23.1417\" style=\"fill:none;stroke:#000000;\"/>\n",
" </g>\n",
" <g id=\"patch_5\">\n",
" <path d=\"\n",
"M58.0425 368.742\n",
"L504.442 368.742\" style=\"fill:none;stroke:#000000;\"/>\n",
" </g>\n",
" <g id=\"patch_6\">\n",
" <path d=\"\n",
"M58.0425 368.742\n",
"L58.0425 23.1417\" style=\"fill:none;stroke:#000000;\"/>\n",
" </g>\n",
" <g id=\"text_17\">\n",
" <!-- Soft avg. (red) vs. Thresholding (blue) @ 100 reps (z=0) -->\n",
" <defs>\n",
" <path id=\"BitstreamVeraSans-Roman-20\"/>\n",
" <path d=\"\n",
"M8.01562 75.875\n",
"L15.8281 75.875\n",
"Q23.1406 64.3594 26.7812 53.3125\n",
"Q30.4219 42.2812 30.4219 31.3906\n",
"Q30.4219 20.4531 26.7812 9.375\n",
"Q23.1406 -1.70312 15.8281 -13.1875\n",
"L8.01562 -13.1875\n",
"Q14.5 -2 17.7031 9.0625\n",
"Q20.9062 20.125 20.9062 31.3906\n",
"Q20.9062 42.6719 17.7031 53.6562\n",
"Q14.5 64.6562 8.01562 75.875\" id=\"BitstreamVeraSans-Roman-29\"/>\n",
" <path d=\"\n",
"M31 75.875\n",
"Q24.4688 64.6562 21.2812 53.6562\n",
"Q18.1094 42.6719 18.1094 31.3906\n",
"Q18.1094 20.125 21.3125 9.0625\n",
"Q24.5156 -2 31 -13.1875\n",
"L23.1875 -13.1875\n",
"Q15.875 -1.70312 12.2344 9.375\n",
"Q8.59375 20.4531 8.59375 31.3906\n",
"Q8.59375 42.2812 12.2031 53.3125\n",
"Q15.8281 64.3594 23.1875 75.875\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-28\"/>\n",
" <path d=\"\n",
"M5.51562 54.6875\n",
"L48.1875 54.6875\n",
"L48.1875 46.4844\n",
"L14.4062 7.17188\n",
"L48.1875 7.17188\n",
"L48.1875 0\n",
"L4.29688 0\n",
"L4.29688 8.20312\n",
"L38.0938 47.5156\n",
"L5.51562 47.5156\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-7a\"/>\n",
" <path d=\"\n",
"M9.42188 54.6875\n",
"L18.4062 54.6875\n",
"L18.4062 0\n",
"L9.42188 0\n",
"z\n",
"\n",
"M9.42188 75.9844\n",
"L18.4062 75.9844\n",
"L18.4062 64.5938\n",
"L9.42188 64.5938\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-69\"/>\n",
" <path d=\"\n",
"M54.8906 33.0156\n",
"L54.8906 0\n",
"L45.9062 0\n",
"L45.9062 32.7188\n",
"Q45.9062 40.4844 42.875 44.3281\n",
"Q39.8438 48.1875 33.7969 48.1875\n",
"Q26.5156 48.1875 22.3125 43.5469\n",
"Q18.1094 38.9219 18.1094 30.9062\n",
"L18.1094 0\n",
"L9.07812 0\n",
"L9.07812 75.9844\n",
"L18.1094 75.9844\n",
"L18.1094 46.1875\n",
"Q21.3438 51.125 25.7031 53.5625\n",
"Q30.0781 56 35.7969 56\n",
"Q45.2188 56 50.0469 50.1719\n",
"Q54.8906 44.3438 54.8906 33.0156\" id=\"BitstreamVeraSans-Roman-68\"/>\n",
" <path d=\"\n",
"M10.5938 45.4062\n",
"L73.1875 45.4062\n",
"L73.1875 37.2031\n",
"L10.5938 37.2031\n",
"z\n",
"\n",
"M10.5938 25.4844\n",
"L73.1875 25.4844\n",
"L73.1875 17.1875\n",
"L10.5938 17.1875\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-3d\"/>\n",
" <path d=\"\n",
"M37.2031 26.2188\n",
"Q37.2031 19.2344 40.6719 15.25\n",
"Q44.1406 11.2812 50.2031 11.2812\n",
"Q56.2031 11.2812 59.6406 15.2812\n",
"Q63.0938 19.2812 63.0938 26.2188\n",
"Q63.0938 33.0625 59.5781 37.0781\n",
"Q56.0625 41.1094 50.0938 41.1094\n",
"Q44.1875 41.1094 40.6875 37.1094\n",
"Q37.2031 33.1094 37.2031 26.2188\n",
"M63.8125 11.625\n",
"Q60.8906 7.85938 57.1094 6.07812\n",
"Q53.3281 4.29688 48.2969 4.29688\n",
"Q39.8906 4.29688 34.6406 10.375\n",
"Q29.3906 16.4531 29.3906 26.2188\n",
"Q29.3906 35.9844 34.6562 42.0781\n",
"Q39.9375 48.1875 48.2969 48.1875\n",
"Q53.3281 48.1875 57.125 46.3594\n",
"Q60.9375 44.5312 63.8125 40.8281\n",
"L63.8125 47.2188\n",
"L70.7969 47.2188\n",
"L70.7969 11.2812\n",
"Q77.9375 12.3594 81.9531 17.7969\n",
"Q85.9844 23.25 85.9844 31.8906\n",
"Q85.9844 37.1094 84.4375 41.7031\n",
"Q82.9062 46.2969 79.7812 50.2031\n",
"Q74.7031 56.5938 67.4062 59.9844\n",
"Q60.1094 63.375 51.5156 63.375\n",
"Q45.5156 63.375 39.9844 61.7812\n",
"Q34.4688 60.2031 29.7812 57.0781\n",
"Q22.125 52.0938 17.7969 44.0156\n",
"Q13.4844 35.9375 13.4844 26.5156\n",
"Q13.4844 18.75 16.2812 11.9531\n",
"Q19.0938 5.17188 24.4219 0\n",
"Q29.5469 -5.07812 36.2812 -7.73438\n",
"Q43.0156 -10.4062 50.6875 -10.4062\n",
"Q56.9844 -10.4062 63.0625 -8.28125\n",
"Q69.1406 -6.15625 74.2188 -2.20312\n",
"L78.6094 -7.625\n",
"Q72.5156 -12.3594 65.3125 -14.875\n",
"Q58.1094 -17.3906 50.6875 -17.3906\n",
"Q41.6562 -17.3906 33.6406 -14.1875\n",
"Q25.6406 -10.9844 19.3906 -4.89062\n",
"Q13.1406 1.21875 9.85938 9.25\n",
"Q6.59375 17.2812 6.59375 26.5156\n",
"Q6.59375 35.4062 9.90625 43.4531\n",
"Q13.2344 51.5156 19.3906 57.625\n",
"Q25.6875 63.8125 33.9375 67.1094\n",
"Q42.1875 70.4062 51.4219 70.4062\n",
"Q61.7656 70.4062 70.625 66.1562\n",
"Q79.5 61.9219 85.5 54.1094\n",
"Q89.1562 49.3125 91.0781 43.7031\n",
"Q93.0156 38.0938 93.0156 32.0781\n",
"Q93.0156 19.2344 85.25 11.8125\n",
"Q77.4844 4.39062 63.8125 4.10938\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-40\"/>\n",
" <path d=\"\n",
"M56.2031 29.5938\n",
"L56.2031 25.2031\n",
"L14.8906 25.2031\n",
"Q15.4844 15.9219 20.4844 11.0625\n",
"Q25.4844 6.20312 34.4219 6.20312\n",
"Q39.5938 6.20312 44.4531 7.46875\n",
"Q49.3125 8.73438 54.1094 11.2812\n",
"L54.1094 2.78125\n",
"Q49.2656 0.734375 44.1875 -0.34375\n",
"Q39.1094 -1.42188 33.8906 -1.42188\n",
"Q20.7969 -1.42188 13.1562 6.1875\n",
"Q5.51562 13.8125 5.51562 26.8125\n",
"Q5.51562 40.2344 12.7656 48.1094\n",
"Q20.0156 56 32.3281 56\n",
"Q43.3594 56 49.7812 48.8906\n",
"Q56.2031 41.7969 56.2031 29.5938\n",
"M47.2188 32.2344\n",
"Q47.125 39.5938 43.0938 43.9844\n",
"Q39.0625 48.3906 32.4219 48.3906\n",
"Q24.9062 48.3906 20.3906 44.1406\n",
"Q15.875 39.8906 15.1875 32.1719\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-65\"/>\n",
" <path d=\"\n",
"M45.4062 46.3906\n",
"L45.4062 75.9844\n",
"L54.3906 75.9844\n",
"L54.3906 0\n",
"L45.4062 0\n",
"L45.4062 8.20312\n",
"Q42.5781 3.32812 38.25 0.953125\n",
"Q33.9375 -1.42188 27.875 -1.42188\n",
"Q17.9688 -1.42188 11.7344 6.48438\n",
"Q5.51562 14.4062 5.51562 27.2969\n",
"Q5.51562 40.1875 11.7344 48.0938\n",
"Q17.9688 56 27.875 56\n",
"Q33.9375 56 38.25 53.625\n",
"Q42.5781 51.2656 45.4062 46.3906\n",
"M14.7969 27.2969\n",
"Q14.7969 17.3906 18.875 11.75\n",
"Q22.9531 6.10938 30.0781 6.10938\n",
"Q37.2031 6.10938 41.2969 11.75\n",
"Q45.4062 17.3906 45.4062 27.2969\n",
"Q45.4062 37.2031 41.2969 42.8438\n",
"Q37.2031 48.4844 30.0781 48.4844\n",
"Q22.9531 48.4844 18.875 42.8438\n",
"Q14.7969 37.2031 14.7969 27.2969\" id=\"BitstreamVeraSans-Roman-64\"/>\n",
" <path d=\"\n",
"M45.4062 27.9844\n",
"Q45.4062 37.75 41.375 43.1094\n",
"Q37.3594 48.4844 30.0781 48.4844\n",
"Q22.8594 48.4844 18.8281 43.1094\n",
"Q14.7969 37.75 14.7969 27.9844\n",
"Q14.7969 18.2656 18.8281 12.8906\n",
"Q22.8594 7.51562 30.0781 7.51562\n",
"Q37.3594 7.51562 41.375 12.8906\n",
"Q45.4062 18.2656 45.4062 27.9844\n",
"M54.3906 6.78125\n",
"Q54.3906 -7.17188 48.1875 -13.9844\n",
"Q42 -20.7969 29.2031 -20.7969\n",
"Q24.4688 -20.7969 20.2656 -20.0938\n",
"Q16.0625 -19.3906 12.1094 -17.9219\n",
"L12.1094 -9.1875\n",
"Q16.0625 -11.3281 19.9219 -12.3438\n",
"Q23.7812 -13.375 27.7812 -13.375\n",
"Q36.625 -13.375 41.0156 -8.76562\n",
"Q45.4062 -4.15625 45.4062 5.17188\n",
"L45.4062 9.625\n",
"Q42.625 4.78125 38.2812 2.39062\n",
"Q33.9375 0 27.875 0\n",
"Q17.8281 0 11.6719 7.65625\n",
"Q5.51562 15.3281 5.51562 27.9844\n",
"Q5.51562 40.6719 11.6719 48.3281\n",
"Q17.8281 56 27.875 56\n",
"Q33.9375 56 38.2812 53.6094\n",
"Q42.625 51.2188 45.4062 46.3906\n",
"L45.4062 54.6875\n",
"L54.3906 54.6875\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-67\"/>\n",
" <path d=\"\n",
"M37.1094 75.9844\n",
"L37.1094 68.5\n",
"L28.5156 68.5\n",
"Q23.6875 68.5 21.7969 66.5469\n",
"Q19.9219 64.5938 19.9219 59.5156\n",
"L19.9219 54.6875\n",
"L34.7188 54.6875\n",
"L34.7188 47.7031\n",
"L19.9219 47.7031\n",
"L19.9219 0\n",
"L10.8906 0\n",
"L10.8906 47.7031\n",
"L2.29688 47.7031\n",
"L2.29688 54.6875\n",
"L10.8906 54.6875\n",
"L10.8906 58.5\n",
"Q10.8906 67.625 15.1406 71.7969\n",
"Q19.3906 75.9844 28.6094 75.9844\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-66\"/>\n",
" <path d=\"\n",
"M34.2812 27.4844\n",
"Q23.3906 27.4844 19.1875 25\n",
"Q14.9844 22.5156 14.9844 16.5\n",
"Q14.9844 11.7188 18.1406 8.90625\n",
"Q21.2969 6.10938 26.7031 6.10938\n",
"Q34.1875 6.10938 38.7031 11.4062\n",
"Q43.2188 16.7031 43.2188 25.4844\n",
"L43.2188 27.4844\n",
"z\n",
"\n",
"M52.2031 31.2031\n",
"L52.2031 0\n",
"L43.2188 0\n",
"L43.2188 8.29688\n",
"Q40.1406 3.32812 35.5469 0.953125\n",
"Q30.9531 -1.42188 24.3125 -1.42188\n",
"Q15.9219 -1.42188 10.9531 3.29688\n",
"Q6 8.01562 6 15.9219\n",
"Q6 25.1406 12.1719 29.8281\n",
"Q18.3594 34.5156 30.6094 34.5156\n",
"L43.2188 34.5156\n",
"L43.2188 35.4062\n",
"Q43.2188 41.6094 39.1406 45\n",
"Q35.0625 48.3906 27.6875 48.3906\n",
"Q23 48.3906 18.5469 47.2656\n",
"Q14.1094 46.1406 10.0156 43.8906\n",
"L10.0156 52.2031\n",
"Q14.9375 54.1094 19.5781 55.0469\n",
"Q24.2188 56 28.6094 56\n",
"Q40.4844 56 46.3438 49.8438\n",
"Q52.2031 43.7031 52.2031 31.2031\" id=\"BitstreamVeraSans-Roman-61\"/>\n",
" <path d=\"\n",
"M48.6875 27.2969\n",
"Q48.6875 37.2031 44.6094 42.8438\n",
"Q40.5312 48.4844 33.4062 48.4844\n",
"Q26.2656 48.4844 22.1875 42.8438\n",
"Q18.1094 37.2031 18.1094 27.2969\n",
"Q18.1094 17.3906 22.1875 11.75\n",
"Q26.2656 6.10938 33.4062 6.10938\n",
"Q40.5312 6.10938 44.6094 11.75\n",
"Q48.6875 17.3906 48.6875 27.2969\n",
"M18.1094 46.3906\n",
"Q20.9531 51.2656 25.2656 53.625\n",
"Q29.5938 56 35.5938 56\n",
"Q45.5625 56 51.7812 48.0938\n",
"Q58.0156 40.1875 58.0156 27.2969\n",
"Q58.0156 14.4062 51.7812 6.48438\n",
"Q45.5625 -1.42188 35.5938 -1.42188\n",
"Q29.5938 -1.42188 25.2656 0.953125\n",
"Q20.9531 3.32812 18.1094 8.20312\n",
"L18.1094 0\n",
"L9.07812 0\n",
"L9.07812 75.9844\n",
"L18.1094 75.9844\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-62\"/>\n",
" <path d=\"\n",
"M54.8906 33.0156\n",
"L54.8906 0\n",
"L45.9062 0\n",
"L45.9062 32.7188\n",
"Q45.9062 40.4844 42.875 44.3281\n",
"Q39.8438 48.1875 33.7969 48.1875\n",
"Q26.5156 48.1875 22.3125 43.5469\n",
"Q18.1094 38.9219 18.1094 30.9062\n",
"L18.1094 0\n",
"L9.07812 0\n",
"L9.07812 54.6875\n",
"L18.1094 54.6875\n",
"L18.1094 46.1875\n",
"Q21.3438 51.125 25.7031 53.5625\n",
"Q30.0781 56 35.7969 56\n",
"Q45.2188 56 50.0469 50.1719\n",
"Q54.8906 44.3438 54.8906 33.0156\" id=\"BitstreamVeraSans-Roman-6e\"/>\n",
" <path d=\"\n",
"M30.6094 48.3906\n",
"Q23.3906 48.3906 19.1875 42.75\n",
"Q14.9844 37.1094 14.9844 27.2969\n",
"Q14.9844 17.4844 19.1562 11.8438\n",
"Q23.3438 6.20312 30.6094 6.20312\n",
"Q37.7969 6.20312 41.9844 11.8594\n",
"Q46.1875 17.5312 46.1875 27.2969\n",
"Q46.1875 37.0156 41.9844 42.7031\n",
"Q37.7969 48.3906 30.6094 48.3906\n",
"M30.6094 56\n",
"Q42.3281 56 49.0156 48.375\n",
"Q55.7188 40.7656 55.7188 27.2969\n",
"Q55.7188 13.875 49.0156 6.21875\n",
"Q42.3281 -1.42188 30.6094 -1.42188\n",
"Q18.8438 -1.42188 12.1719 6.21875\n",
"Q5.51562 13.875 5.51562 27.2969\n",
"Q5.51562 40.7656 12.1719 48.375\n",
"Q18.8438 56 30.6094 56\" id=\"BitstreamVeraSans-Roman-6f\"/>\n",
" <path d=\"\n",
"M9.42188 75.9844\n",
"L18.4062 75.9844\n",
"L18.4062 0\n",
"L9.42188 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-6c\"/>\n",
" <path d=\"\n",
"M-0.296875 72.9062\n",
"L61.375 72.9062\n",
"L61.375 64.5938\n",
"L35.5 64.5938\n",
"L35.5 0\n",
"L25.5938 0\n",
"L25.5938 64.5938\n",
"L-0.296875 64.5938\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-54\"/>\n",
" <path d=\"\n",
"M2.98438 54.6875\n",
"L12.5 54.6875\n",
"L29.5938 8.79688\n",
"L46.6875 54.6875\n",
"L56.2031 54.6875\n",
"L35.6875 0\n",
"L23.4844 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-76\"/>\n",
" <path d=\"\n",
"M18.3125 70.2188\n",
"L18.3125 54.6875\n",
"L36.8125 54.6875\n",
"L36.8125 47.7031\n",
"L18.3125 47.7031\n",
"L18.3125 18.0156\n",
"Q18.3125 11.3281 20.1406 9.42188\n",
"Q21.9688 7.51562 27.5938 7.51562\n",
"L36.8125 7.51562\n",
"L36.8125 0\n",
"L27.5938 0\n",
"Q17.1875 0 13.2344 3.875\n",
"Q9.28125 7.76562 9.28125 18.0156\n",
"L9.28125 47.7031\n",
"L2.6875 47.7031\n",
"L2.6875 54.6875\n",
"L9.28125 54.6875\n",
"L9.28125 70.2188\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-74\"/>\n",
" <path d=\"\n",
"M8.5 21.5781\n",
"L8.5 54.6875\n",
"L17.4844 54.6875\n",
"L17.4844 21.9219\n",
"Q17.4844 14.1562 20.5 10.2656\n",
"Q23.5312 6.39062 29.5938 6.39062\n",
"Q36.8594 6.39062 41.0781 11.0312\n",
"Q45.3125 15.6719 45.3125 23.6875\n",
"L45.3125 54.6875\n",
"L54.2969 54.6875\n",
"L54.2969 0\n",
"L45.3125 0\n",
"L45.3125 8.40625\n",
"Q42.0469 3.42188 37.7188 1\n",
"Q33.4062 -1.42188 27.6875 -1.42188\n",
"Q18.2656 -1.42188 13.375 4.4375\n",
"Q8.5 10.2969 8.5 21.5781\" id=\"BitstreamVeraSans-Roman-75\"/>\n",
" <path d=\"\n",
"M41.1094 46.2969\n",
"Q39.5938 47.1719 37.8125 47.5781\n",
"Q36.0312 48 33.8906 48\n",
"Q26.2656 48 22.1875 43.0469\n",
"Q18.1094 38.0938 18.1094 28.8125\n",
"L18.1094 0\n",
"L9.07812 0\n",
"L9.07812 54.6875\n",
"L18.1094 54.6875\n",
"L18.1094 46.1875\n",
"Q20.9531 51.1719 25.4844 53.5781\n",
"Q30.0312 56 36.5312 56\n",
"Q37.4531 56 38.5781 55.875\n",
"Q39.7031 55.7656 41.0625 55.5156\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-72\"/>\n",
" <path d=\"\n",
"M44.2812 53.0781\n",
"L44.2812 44.5781\n",
"Q40.4844 46.5312 36.375 47.5\n",
"Q32.2812 48.4844 27.875 48.4844\n",
"Q21.1875 48.4844 17.8438 46.4375\n",
"Q14.5 44.3906 14.5 40.2812\n",
"Q14.5 37.1562 16.8906 35.375\n",
"Q19.2812 33.5938 26.5156 31.9844\n",
"L29.5938 31.2969\n",
"Q39.1562 29.25 43.1875 25.5156\n",
"Q47.2188 21.7812 47.2188 15.0938\n",
"Q47.2188 7.46875 41.1875 3.01562\n",
"Q35.1562 -1.42188 24.6094 -1.42188\n",
"Q20.2188 -1.42188 15.4531 -0.5625\n",
"Q10.6875 0.296875 5.42188 2\n",
"L5.42188 11.2812\n",
"Q10.4062 8.6875 15.2344 7.39062\n",
"Q20.0625 6.10938 24.8125 6.10938\n",
"Q31.1562 6.10938 34.5625 8.28125\n",
"Q37.9844 10.4531 37.9844 14.4062\n",
"Q37.9844 18.0625 35.5156 20.0156\n",
"Q33.0625 21.9688 24.7031 23.7812\n",
"L21.5781 24.5156\n",
"Q13.2344 26.2656 9.51562 29.9062\n",
"Q5.8125 33.5469 5.8125 39.8906\n",
"Q5.8125 47.6094 11.2812 51.7969\n",
"Q16.75 56 26.8125 56\n",
"Q31.7812 56 36.1719 55.2656\n",
"Q40.5781 54.5469 44.2812 53.0781\" id=\"BitstreamVeraSans-Roman-73\"/>\n",
" <path d=\"\n",
"M18.1094 8.20312\n",
"L18.1094 -20.7969\n",
"L9.07812 -20.7969\n",
"L9.07812 54.6875\n",
"L18.1094 54.6875\n",
"L18.1094 46.3906\n",
"Q20.9531 51.2656 25.2656 53.625\n",
"Q29.5938 56 35.5938 56\n",
"Q45.5625 56 51.7812 48.0938\n",
"Q58.0156 40.1875 58.0156 27.2969\n",
"Q58.0156 14.4062 51.7812 6.48438\n",
"Q45.5625 -1.42188 35.5938 -1.42188\n",
"Q29.5938 -1.42188 25.2656 0.953125\n",
"Q20.9531 3.32812 18.1094 8.20312\n",
"M48.6875 27.2969\n",
"Q48.6875 37.2031 44.6094 42.8438\n",
"Q40.5312 48.4844 33.4062 48.4844\n",
"Q26.2656 48.4844 22.1875 42.8438\n",
"Q18.1094 37.2031 18.1094 27.2969\n",
"Q18.1094 17.3906 22.1875 11.75\n",
"Q26.2656 6.10938 33.4062 6.10938\n",
"Q40.5312 6.10938 44.6094 11.75\n",
"Q48.6875 17.3906 48.6875 27.2969\" id=\"BitstreamVeraSans-Roman-70\"/>\n",
" </defs>\n",
" <g transform=\"translate(79.508625 18.14175)scale(0.144 -0.144)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-53\"/>\n",
" <use x=\"63.4765625\" xlink:href=\"#BitstreamVeraSans-Roman-6f\"/>\n",
" <use x=\"124.658203125\" xlink:href=\"#BitstreamVeraSans-Roman-66\"/>\n",
" <use x=\"158.11328125\" xlink:href=\"#BitstreamVeraSans-Roman-74\"/>\n",
" <use x=\"197.322265625\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"229.109375\" xlink:href=\"#BitstreamVeraSans-Roman-61\"/>\n",
" <use x=\"290.388671875\" xlink:href=\"#BitstreamVeraSans-Roman-76\"/>\n",
" <use x=\"349.568359375\" xlink:href=\"#BitstreamVeraSans-Roman-67\"/>\n",
" <use x=\"413.044921875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"444.83203125\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"476.619140625\" xlink:href=\"#BitstreamVeraSans-Roman-28\"/>\n",
" <use x=\"515.6328125\" xlink:href=\"#BitstreamVeraSans-Roman-72\"/>\n",
" <use x=\"554.49609375\" xlink:href=\"#BitstreamVeraSans-Roman-65\"/>\n",
" <use x=\"616.01953125\" xlink:href=\"#BitstreamVeraSans-Roman-64\"/>\n",
" <use x=\"679.49609375\" xlink:href=\"#BitstreamVeraSans-Roman-29\"/>\n",
" <use x=\"718.509765625\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"750.296875\" xlink:href=\"#BitstreamVeraSans-Roman-76\"/>\n",
" <use x=\"809.4765625\" xlink:href=\"#BitstreamVeraSans-Roman-73\"/>\n",
" <use x=\"861.576171875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"893.36328125\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"925.150390625\" xlink:href=\"#BitstreamVeraSans-Roman-54\"/>\n",
" <use x=\"986.234375\" xlink:href=\"#BitstreamVeraSans-Roman-68\"/>\n",
" <use x=\"1049.61328125\" xlink:href=\"#BitstreamVeraSans-Roman-72\"/>\n",
" <use x=\"1088.4765625\" xlink:href=\"#BitstreamVeraSans-Roman-65\"/>\n",
" <use x=\"1150.0\" xlink:href=\"#BitstreamVeraSans-Roman-73\"/>\n",
" <use x=\"1202.09960938\" xlink:href=\"#BitstreamVeraSans-Roman-68\"/>\n",
" <use x=\"1265.47851562\" xlink:href=\"#BitstreamVeraSans-Roman-6f\"/>\n",
" <use x=\"1326.66015625\" xlink:href=\"#BitstreamVeraSans-Roman-6c\"/>\n",
" <use x=\"1354.44335938\" xlink:href=\"#BitstreamVeraSans-Roman-64\"/>\n",
" <use x=\"1417.91992188\" xlink:href=\"#BitstreamVeraSans-Roman-69\"/>\n",
" <use x=\"1445.703125\" xlink:href=\"#BitstreamVeraSans-Roman-6e\"/>\n",
" <use x=\"1509.08203125\" xlink:href=\"#BitstreamVeraSans-Roman-67\"/>\n",
" <use x=\"1572.55859375\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"1604.34570312\" xlink:href=\"#BitstreamVeraSans-Roman-28\"/>\n",
" <use x=\"1643.359375\" xlink:href=\"#BitstreamVeraSans-Roman-62\"/>\n",
" <use x=\"1706.8359375\" xlink:href=\"#BitstreamVeraSans-Roman-6c\"/>\n",
" <use x=\"1734.61914062\" xlink:href=\"#BitstreamVeraSans-Roman-75\"/>\n",
" <use x=\"1797.99804688\" xlink:href=\"#BitstreamVeraSans-Roman-65\"/>\n",
" <use x=\"1859.52148438\" xlink:href=\"#BitstreamVeraSans-Roman-29\"/>\n",
" <use x=\"1898.53515625\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"1930.32226562\" xlink:href=\"#BitstreamVeraSans-Roman-40\"/>\n",
" <use x=\"2030.32226562\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"2062.109375\" xlink:href=\"#BitstreamVeraSans-Roman-31\"/>\n",
" <use x=\"2125.73242188\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"2189.35546875\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"2252.97851562\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"2284.765625\" xlink:href=\"#BitstreamVeraSans-Roman-72\"/>\n",
" <use x=\"2323.62890625\" xlink:href=\"#BitstreamVeraSans-Roman-65\"/>\n",
" <use x=\"2385.15234375\" xlink:href=\"#BitstreamVeraSans-Roman-70\"/>\n",
" <use x=\"2448.62890625\" xlink:href=\"#BitstreamVeraSans-Roman-73\"/>\n",
" <use x=\"2500.72851562\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"2532.515625\" xlink:href=\"#BitstreamVeraSans-Roman-28\"/>\n",
" <use x=\"2571.52929688\" xlink:href=\"#BitstreamVeraSans-Roman-7a\"/>\n",
" <use x=\"2624.01953125\" xlink:href=\"#BitstreamVeraSans-Roman-3d\"/>\n",
" <use x=\"2707.80859375\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"2771.43164062\" xlink:href=\"#BitstreamVeraSans-Roman-29\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <defs>\n",
" <clipPath id=\"pe76a59947c\">\n",
" <rect height=\"345.6\" width=\"446.4\" x=\"58.0425\" y=\"23.14175\"/>\n",
" </clipPath>\n",
" </defs>\n",
"</svg>\n"
],
"text": [
"Figure(PyObject <matplotlib.figure.Figure object at 0x14a7da890>)"
]
}
],
"prompt_number": 103
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"fill_between(SNRs,vec(zo_soft_mse[2,1,:]-zo_soft_mse[2,2,:]),vec(zo_soft_mse[2,1,:]+zo_soft_mse[2,3,:]),facecolor=\"red\",alpha=.5);\n",
"plot(SNRs,vec(zo_soft_mse[2,1,:]),\"r-\")\n",
"fill_between(SNRs,vec(zo_hard_mse[2,1,:]-zo_hard_mse[2,2,:]),vec(zo_hard_mse[2,1,:]+zo_hard_mse[2,3,:]),facecolor=\"blue\",alpha=.5);\n",
"plot(SNRs,vec(zo_hard_mse[2,1,:]),\"b-\")\n",
"xlabel(\"SNR\");\n",
"ylabel(\"MSE\");\n",
"title(\"Soft avg. (red) vs. Thresholding (blue) @ 1000 reps (z=1)\");"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": "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",
"svg": [
"<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n",
"<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n",
" \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n",
"<!-- Created with matplotlib (http://matplotlib.org/) -->\n",
"<svg height=\"403pt\" version=\"1.1\" viewBox=\"0 0 527 403\" width=\"527pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n",
" <defs>\n",
" <style type=\"text/css\">\n",
"*{stroke-linecap:square;stroke-linejoin:round;}\n",
" </style>\n",
" </defs>\n",
" <g id=\"figure_1\">\n",
" <g id=\"patch_1\">\n",
" <path d=\"\n",
"M0 403.095\n",
"L527.856 403.095\n",
"L527.856 0\n",
"L0 0\n",
"z\n",
"\" style=\"fill:#ffffff;\"/>\n",
" </g>\n",
" <g id=\"axes_1\">\n",
" <g id=\"patch_2\">\n",
" <path d=\"\n",
"M65.6775 368.742\n",
"L512.077 368.742\n",
"L512.077 23.1417\n",
"L65.6775 23.1417\n",
"z\n",
"\" style=\"fill:#ffffff;\"/>\n",
" </g>\n",
" <g id=\"PolyCollection_1\">\n",
" <defs>\n",
" <path d=\"\n",
"M65.6775 -215.186\n",
"L65.6775 -197.696\n",
"L115.277 -144.146\n",
"L164.877 -111.571\n",
"L214.477 -99.5764\n",
"L264.077 -92.9262\n",
"L313.677 -80.3138\n",
"L363.277 -76.458\n",
"L412.877 -73.2007\n",
"L462.477 -64.5756\n",
"L512.077 -61.1415\n",
"L512.077 -64.7753\n",
"L512.077 -64.7753\n",
"L462.477 -68.1125\n",
"L412.877 -77.2666\n",
"L363.277 -80.8707\n",
"L313.677 -85.705\n",
"L264.077 -99.0086\n",
"L214.477 -106.788\n",
"L164.877 -121.352\n",
"L115.277 -156.304\n",
"L65.6775 -215.186\n",
"z\n",
"\" id=\"C0_0_ac6c34cd27\"/>\n",
" </defs>\n",
" <g clip-path=\"url(#p1abea4b430)\">\n",
" <use style=\"fill:#ff0000;opacity:0.5;stroke:#000000;stroke-linecap:butt;\" x=\"0\" xlink:href=\"#C0_0_ac6c34cd27\" y=\"403.0955\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"PolyCollection_2\">\n",
" <defs>\n",
" <path d=\"\n",
"M65.6775 -365.416\n",
"L65.6775 -342.005\n",
"L115.277 -190.571\n",
"L164.877 -140.11\n",
"L214.477 -106.68\n",
"L264.077 -95.0674\n",
"L313.677 -79.2226\n",
"L363.277 -70.2922\n",
"L412.877 -66.3972\n",
"L462.477 -59.519\n",
"L512.077 -55.8808\n",
"L512.077 -58.2563\n",
"L512.077 -58.2563\n",
"L462.477 -62.2422\n",
"L412.877 -69.5577\n",
"L363.277 -74.1488\n",
"L313.677 -83.993\n",
"L264.077 -101.514\n",
"L214.477 -115.258\n",
"L164.877 -151.139\n",
"L115.277 -206.331\n",
"L65.6775 -365.416\n",
"z\n",
"\" id=\"C1_0_66cc9fafd1\"/>\n",
" </defs>\n",
" <g clip-path=\"url(#p1abea4b430)\">\n",
" <use style=\"fill:#0000ff;opacity:0.5;stroke:#000000;stroke-linecap:butt;\" x=\"0\" xlink:href=\"#C1_0_66cc9fafd1\" y=\"403.0955\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_1\">\n",
" <path clip-path=\"url(#p1abea4b430)\" d=\"\n",
"M65.6775 189.446\n",
"L115.277 247.982\n",
"L164.877 282.574\n",
"L214.477 296.962\n",
"L264.077 304.694\n",
"L313.677 317.879\n",
"L363.277 322.666\n",
"L412.877 326.234\n",
"L462.477 335.335\n",
"L512.077 338.662\" style=\"fill:none;stroke:#ff0000;\"/>\n",
" </g>\n",
" <g id=\"line2d_2\">\n",
" <path clip-path=\"url(#p1abea4b430)\" d=\"\n",
"M65.6775 39.8745\n",
"L115.277 198.159\n",
"L164.877 252.937\n",
"L214.477 288.544\n",
"L264.077 302.149\n",
"L313.677 319.584\n",
"L363.277 329.306\n",
"L412.877 333.842\n",
"L462.477 341.097\n",
"L512.077 345.066\" style=\"fill:none;stroke:#0000ff;\"/>\n",
" </g>\n",
" <g id=\"matplotlib.axis_1\">\n",
" <g id=\"xtick_1\">\n",
" <g id=\"line2d_3\">\n",
" <defs>\n",
" <path d=\"\n",
"M0 0\n",
"L0 -4\" id=\"mcb557df647\" style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\"/>\n",
" </defs>\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"65.6775\" xlink:href=\"#mcb557df647\" y=\"368.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_4\">\n",
" <defs>\n",
" <path d=\"\n",
"M0 0\n",
"L0 4\" id=\"mdad270ee8e\" style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\"/>\n",
" </defs>\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"65.6775\" xlink:href=\"#mdad270ee8e\" y=\"23.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_1\">\n",
" <!-- 0.5 -->\n",
" <defs>\n",
" <path d=\"\n",
"M31.7812 66.4062\n",
"Q24.1719 66.4062 20.3281 58.9062\n",
"Q16.5 51.4219 16.5 36.375\n",
"Q16.5 21.3906 20.3281 13.8906\n",
"Q24.1719 6.39062 31.7812 6.39062\n",
"Q39.4531 6.39062 43.2812 13.8906\n",
"Q47.125 21.3906 47.125 36.375\n",
"Q47.125 51.4219 43.2812 58.9062\n",
"Q39.4531 66.4062 31.7812 66.4062\n",
"M31.7812 74.2188\n",
"Q44.0469 74.2188 50.5156 64.5156\n",
"Q56.9844 54.8281 56.9844 36.375\n",
"Q56.9844 17.9688 50.5156 8.26562\n",
"Q44.0469 -1.42188 31.7812 -1.42188\n",
"Q19.5312 -1.42188 13.0625 8.26562\n",
"Q6.59375 17.9688 6.59375 36.375\n",
"Q6.59375 54.8281 13.0625 64.5156\n",
"Q19.5312 74.2188 31.7812 74.2188\" id=\"BitstreamVeraSans-Roman-30\"/>\n",
" <path d=\"\n",
"M10.6875 12.4062\n",
"L21 12.4062\n",
"L21 0\n",
"L10.6875 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-2e\"/>\n",
" <path d=\"\n",
"M10.7969 72.9062\n",
"L49.5156 72.9062\n",
"L49.5156 64.5938\n",
"L19.8281 64.5938\n",
"L19.8281 46.7344\n",
"Q21.9688 47.4688 24.1094 47.8281\n",
"Q26.2656 48.1875 28.4219 48.1875\n",
"Q40.625 48.1875 47.75 41.5\n",
"Q54.8906 34.8125 54.8906 23.3906\n",
"Q54.8906 11.625 47.5625 5.09375\n",
"Q40.2344 -1.42188 26.9062 -1.42188\n",
"Q22.3125 -1.42188 17.5469 -0.640625\n",
"Q12.7969 0.140625 7.71875 1.70312\n",
"L7.71875 11.625\n",
"Q12.1094 9.23438 16.7969 8.0625\n",
"Q21.4844 6.89062 26.7031 6.89062\n",
"Q35.1562 6.89062 40.0781 11.3281\n",
"Q45.0156 15.7656 45.0156 23.3906\n",
"Q45.0156 31 40.0781 35.4375\n",
"Q35.1562 39.8906 26.7031 39.8906\n",
"Q22.75 39.8906 18.8125 39.0156\n",
"Q14.8906 38.1406 10.7969 36.2812\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-35\"/>\n",
" </defs>\n",
" <g transform=\"translate(57.0553125 381.648)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-35\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_2\">\n",
" <g id=\"line2d_5\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"177.2775\" xlink:href=\"#mcb557df647\" y=\"368.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_6\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"177.2775\" xlink:href=\"#mdad270ee8e\" y=\"23.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_2\">\n",
" <!-- 1.0 -->\n",
" <defs>\n",
" <path d=\"\n",
"M12.4062 8.29688\n",
"L28.5156 8.29688\n",
"L28.5156 63.9219\n",
"L10.9844 60.4062\n",
"L10.9844 69.3906\n",
"L28.4219 72.9062\n",
"L38.2812 72.9062\n",
"L38.2812 8.29688\n",
"L54.3906 8.29688\n",
"L54.3906 0\n",
"L12.4062 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-31\"/>\n",
" </defs>\n",
" <g transform=\"translate(168.793125 381.648)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-31\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_3\">\n",
" <g id=\"line2d_7\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"288.8775\" xlink:href=\"#mcb557df647\" y=\"368.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_8\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"288.8775\" xlink:href=\"#mdad270ee8e\" y=\"23.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_3\">\n",
" <!-- 1.5 -->\n",
" <g transform=\"translate(280.51875 381.4905)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-31\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-35\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_4\">\n",
" <g id=\"line2d_9\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"400.4775\" xlink:href=\"#mcb557df647\" y=\"368.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_10\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"400.4775\" xlink:href=\"#mdad270ee8e\" y=\"23.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_4\">\n",
" <!-- 2.0 -->\n",
" <defs>\n",
" <path d=\"\n",
"M19.1875 8.29688\n",
"L53.6094 8.29688\n",
"L53.6094 0\n",
"L7.32812 0\n",
"L7.32812 8.29688\n",
"Q12.9375 14.1094 22.625 23.8906\n",
"Q32.3281 33.6875 34.8125 36.5312\n",
"Q39.5469 41.8438 41.4219 45.5312\n",
"Q43.3125 49.2188 43.3125 52.7812\n",
"Q43.3125 58.5938 39.2344 62.25\n",
"Q35.1562 65.9219 28.6094 65.9219\n",
"Q23.9688 65.9219 18.8125 64.3125\n",
"Q13.6719 62.7031 7.8125 59.4219\n",
"L7.8125 69.3906\n",
"Q13.7656 71.7812 18.9375 73\n",
"Q24.125 74.2188 28.4219 74.2188\n",
"Q39.75 74.2188 46.4844 68.5469\n",
"Q53.2188 62.8906 53.2188 53.4219\n",
"Q53.2188 48.9219 51.5312 44.8906\n",
"Q49.8594 40.875 45.4062 35.4062\n",
"Q44.1875 33.9844 37.6406 27.2188\n",
"Q31.1094 20.4531 19.1875 8.29688\" id=\"BitstreamVeraSans-Roman-32\"/>\n",
" </defs>\n",
" <g transform=\"translate(391.77375 381.648)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-32\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_5\">\n",
" <g id=\"line2d_11\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"512.0775\" xlink:href=\"#mcb557df647\" y=\"368.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_12\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"512.0775\" xlink:href=\"#mdad270ee8e\" y=\"23.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_5\">\n",
" <!-- 2.5 -->\n",
" <g transform=\"translate(503.499375 381.648)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-32\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-35\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_6\">\n",
" <!-- SNR -->\n",
" <defs>\n",
" <path d=\"\n",
"M9.8125 72.9062\n",
"L23.0938 72.9062\n",
"L55.4219 11.9219\n",
"L55.4219 72.9062\n",
"L64.9844 72.9062\n",
"L64.9844 0\n",
"L51.7031 0\n",
"L19.3906 60.9844\n",
"L19.3906 0\n",
"L9.8125 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-4e\"/>\n",
" <path d=\"\n",
"M53.5156 70.5156\n",
"L53.5156 60.8906\n",
"Q47.9062 63.5781 42.9219 64.8906\n",
"Q37.9375 66.2188 33.2969 66.2188\n",
"Q25.25 66.2188 20.875 63.0938\n",
"Q16.5 59.9688 16.5 54.2031\n",
"Q16.5 49.3594 19.4062 46.8906\n",
"Q22.3125 44.4375 30.4219 42.9219\n",
"L36.375 41.7031\n",
"Q47.4062 39.5938 52.6562 34.2969\n",
"Q57.9062 29 57.9062 20.125\n",
"Q57.9062 9.51562 50.7969 4.04688\n",
"Q43.7031 -1.42188 29.9844 -1.42188\n",
"Q24.8125 -1.42188 18.9688 -0.25\n",
"Q13.1406 0.921875 6.89062 3.21875\n",
"L6.89062 13.375\n",
"Q12.8906 10.0156 18.6562 8.29688\n",
"Q24.4219 6.59375 29.9844 6.59375\n",
"Q38.4219 6.59375 43.0156 9.90625\n",
"Q47.6094 13.2344 47.6094 19.3906\n",
"Q47.6094 24.75 44.3125 27.7812\n",
"Q41.0156 30.8125 33.5 32.3281\n",
"L27.4844 33.5\n",
"Q16.4531 35.6875 11.5156 40.375\n",
"Q6.59375 45.0625 6.59375 53.4219\n",
"Q6.59375 63.0938 13.4062 68.6562\n",
"Q20.2188 74.2188 32.1719 74.2188\n",
"Q37.3125 74.2188 42.625 73.2812\n",
"Q47.9531 72.3594 53.5156 70.5156\" id=\"BitstreamVeraSans-Roman-53\"/>\n",
" <path d=\"\n",
"M44.3906 34.1875\n",
"Q47.5625 33.1094 50.5625 29.5938\n",
"Q53.5625 26.0781 56.5938 19.9219\n",
"L66.6094 0\n",
"L56 0\n",
"L46.6875 18.7031\n",
"Q43.0625 26.0312 39.6719 28.4219\n",
"Q36.2812 30.8125 30.4219 30.8125\n",
"L19.6719 30.8125\n",
"L19.6719 0\n",
"L9.8125 0\n",
"L9.8125 72.9062\n",
"L32.0781 72.9062\n",
"Q44.5781 72.9062 50.7344 67.6719\n",
"Q56.8906 62.4531 56.8906 51.9062\n",
"Q56.8906 45.0156 53.6875 40.4688\n",
"Q50.4844 35.9375 44.3906 34.1875\n",
"M19.6719 64.7969\n",
"L19.6719 38.9219\n",
"L32.0781 38.9219\n",
"Q39.2031 38.9219 42.8438 42.2188\n",
"Q46.4844 45.5156 46.4844 51.9062\n",
"Q46.4844 58.2969 42.8438 61.5469\n",
"Q39.2031 64.7969 32.0781 64.7969\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-52\"/>\n",
" </defs>\n",
" <g transform=\"translate(276.97875 395.724875)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-53\"/>\n",
" <use x=\"63.4765625\" xlink:href=\"#BitstreamVeraSans-Roman-4e\"/>\n",
" <use x=\"138.28125\" xlink:href=\"#BitstreamVeraSans-Roman-52\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"matplotlib.axis_2\">\n",
" <g id=\"ytick_1\">\n",
" <g id=\"line2d_13\">\n",
" <defs>\n",
" <path d=\"\n",
"M0 0\n",
"L4 0\" id=\"mc8fcea1516\" style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\"/>\n",
" </defs>\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"65.6775\" xlink:href=\"#mc8fcea1516\" y=\"368.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_14\">\n",
" <defs>\n",
" <path d=\"\n",
"M0 0\n",
"L-4 0\" id=\"m0d5b0a6425\" style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\"/>\n",
" </defs>\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"512.0775\" xlink:href=\"#m0d5b0a6425\" y=\"368.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_7\">\n",
" <!-- 0.0000 -->\n",
" <g transform=\"translate(21.276875 373.1095625)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"222.65625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"286.279296875\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_2\">\n",
" <g id=\"line2d_15\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"65.6775\" xlink:href=\"#mc8fcea1516\" y=\"282.34175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_16\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"512.0775\" xlink:href=\"#m0d5b0a6425\" y=\"282.34175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_8\">\n",
" <!-- 0.0005 -->\n",
" <g transform=\"translate(21.528125 286.7095625)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"222.65625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"286.279296875\" xlink:href=\"#BitstreamVeraSans-Roman-35\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_3\">\n",
" <g id=\"line2d_17\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"65.6775\" xlink:href=\"#mc8fcea1516\" y=\"195.94175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_18\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"512.0775\" xlink:href=\"#m0d5b0a6425\" y=\"195.94175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_9\">\n",
" <!-- 0.0010 -->\n",
" <g transform=\"translate(21.276875 200.3095625)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"222.65625\" xlink:href=\"#BitstreamVeraSans-Roman-31\"/>\n",
" <use x=\"286.279296875\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_4\">\n",
" <g id=\"line2d_19\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"65.6775\" xlink:href=\"#mc8fcea1516\" y=\"109.54175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_20\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"512.0775\" xlink:href=\"#m0d5b0a6425\" y=\"109.54175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_10\">\n",
" <!-- 0.0015 -->\n",
" <g transform=\"translate(21.528125 113.9095625)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"222.65625\" xlink:href=\"#BitstreamVeraSans-Roman-31\"/>\n",
" <use x=\"286.279296875\" xlink:href=\"#BitstreamVeraSans-Roman-35\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_5\">\n",
" <g id=\"line2d_21\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"65.6775\" xlink:href=\"#mc8fcea1516\" y=\"23.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_22\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"512.0775\" xlink:href=\"#m0d5b0a6425\" y=\"23.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_11\">\n",
" <!-- 0.0020 -->\n",
" <g transform=\"translate(21.276875 27.5095625)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"222.65625\" xlink:href=\"#BitstreamVeraSans-Roman-32\"/>\n",
" <use x=\"286.279296875\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_12\">\n",
" <!-- MSE -->\n",
" <defs>\n",
" <path d=\"\n",
"M9.8125 72.9062\n",
"L55.9062 72.9062\n",
"L55.9062 64.5938\n",
"L19.6719 64.5938\n",
"L19.6719 43.0156\n",
"L54.3906 43.0156\n",
"L54.3906 34.7188\n",
"L19.6719 34.7188\n",
"L19.6719 8.29688\n",
"L56.7812 8.29688\n",
"L56.7812 0\n",
"L9.8125 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-45\"/>\n",
" <path d=\"\n",
"M9.8125 72.9062\n",
"L24.5156 72.9062\n",
"L43.1094 23.2969\n",
"L61.8125 72.9062\n",
"L76.5156 72.9062\n",
"L76.5156 0\n",
"L66.8906 0\n",
"L66.8906 64.0156\n",
"L48.0938 14.0156\n",
"L38.1875 14.0156\n",
"L19.3906 64.0156\n",
"L19.3906 0\n",
"L9.8125 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-4d\"/>\n",
" </defs>\n",
" <g transform=\"translate(16.276875 207.5751875)rotate(-90.0)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-4d\"/>\n",
" <use x=\"86.279296875\" xlink:href=\"#BitstreamVeraSans-Roman-53\"/>\n",
" <use x=\"149.755859375\" xlink:href=\"#BitstreamVeraSans-Roman-45\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"patch_3\">\n",
" <path d=\"\n",
"M65.6775 23.1417\n",
"L512.077 23.1417\" style=\"fill:none;stroke:#000000;\"/>\n",
" </g>\n",
" <g id=\"patch_4\">\n",
" <path d=\"\n",
"M512.077 368.742\n",
"L512.077 23.1417\" style=\"fill:none;stroke:#000000;\"/>\n",
" </g>\n",
" <g id=\"patch_5\">\n",
" <path d=\"\n",
"M65.6775 368.742\n",
"L512.077 368.742\" style=\"fill:none;stroke:#000000;\"/>\n",
" </g>\n",
" <g id=\"patch_6\">\n",
" <path d=\"\n",
"M65.6775 368.742\n",
"L65.6775 23.1417\" style=\"fill:none;stroke:#000000;\"/>\n",
" </g>\n",
" <g id=\"text_13\">\n",
" <!-- Soft avg. (red) vs. Thresholding (blue) @ 1000 reps (z=1) -->\n",
" <defs>\n",
" <path id=\"BitstreamVeraSans-Roman-20\"/>\n",
" <path d=\"\n",
"M8.01562 75.875\n",
"L15.8281 75.875\n",
"Q23.1406 64.3594 26.7812 53.3125\n",
"Q30.4219 42.2812 30.4219 31.3906\n",
"Q30.4219 20.4531 26.7812 9.375\n",
"Q23.1406 -1.70312 15.8281 -13.1875\n",
"L8.01562 -13.1875\n",
"Q14.5 -2 17.7031 9.0625\n",
"Q20.9062 20.125 20.9062 31.3906\n",
"Q20.9062 42.6719 17.7031 53.6562\n",
"Q14.5 64.6562 8.01562 75.875\" id=\"BitstreamVeraSans-Roman-29\"/>\n",
" <path d=\"\n",
"M31 75.875\n",
"Q24.4688 64.6562 21.2812 53.6562\n",
"Q18.1094 42.6719 18.1094 31.3906\n",
"Q18.1094 20.125 21.3125 9.0625\n",
"Q24.5156 -2 31 -13.1875\n",
"L23.1875 -13.1875\n",
"Q15.875 -1.70312 12.2344 9.375\n",
"Q8.59375 20.4531 8.59375 31.3906\n",
"Q8.59375 42.2812 12.2031 53.3125\n",
"Q15.8281 64.3594 23.1875 75.875\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-28\"/>\n",
" <path d=\"\n",
"M5.51562 54.6875\n",
"L48.1875 54.6875\n",
"L48.1875 46.4844\n",
"L14.4062 7.17188\n",
"L48.1875 7.17188\n",
"L48.1875 0\n",
"L4.29688 0\n",
"L4.29688 8.20312\n",
"L38.0938 47.5156\n",
"L5.51562 47.5156\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-7a\"/>\n",
" <path d=\"\n",
"M9.42188 54.6875\n",
"L18.4062 54.6875\n",
"L18.4062 0\n",
"L9.42188 0\n",
"z\n",
"\n",
"M9.42188 75.9844\n",
"L18.4062 75.9844\n",
"L18.4062 64.5938\n",
"L9.42188 64.5938\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-69\"/>\n",
" <path d=\"\n",
"M54.8906 33.0156\n",
"L54.8906 0\n",
"L45.9062 0\n",
"L45.9062 32.7188\n",
"Q45.9062 40.4844 42.875 44.3281\n",
"Q39.8438 48.1875 33.7969 48.1875\n",
"Q26.5156 48.1875 22.3125 43.5469\n",
"Q18.1094 38.9219 18.1094 30.9062\n",
"L18.1094 0\n",
"L9.07812 0\n",
"L9.07812 75.9844\n",
"L18.1094 75.9844\n",
"L18.1094 46.1875\n",
"Q21.3438 51.125 25.7031 53.5625\n",
"Q30.0781 56 35.7969 56\n",
"Q45.2188 56 50.0469 50.1719\n",
"Q54.8906 44.3438 54.8906 33.0156\" id=\"BitstreamVeraSans-Roman-68\"/>\n",
" <path d=\"\n",
"M10.5938 45.4062\n",
"L73.1875 45.4062\n",
"L73.1875 37.2031\n",
"L10.5938 37.2031\n",
"z\n",
"\n",
"M10.5938 25.4844\n",
"L73.1875 25.4844\n",
"L73.1875 17.1875\n",
"L10.5938 17.1875\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-3d\"/>\n",
" <path d=\"\n",
"M37.2031 26.2188\n",
"Q37.2031 19.2344 40.6719 15.25\n",
"Q44.1406 11.2812 50.2031 11.2812\n",
"Q56.2031 11.2812 59.6406 15.2812\n",
"Q63.0938 19.2812 63.0938 26.2188\n",
"Q63.0938 33.0625 59.5781 37.0781\n",
"Q56.0625 41.1094 50.0938 41.1094\n",
"Q44.1875 41.1094 40.6875 37.1094\n",
"Q37.2031 33.1094 37.2031 26.2188\n",
"M63.8125 11.625\n",
"Q60.8906 7.85938 57.1094 6.07812\n",
"Q53.3281 4.29688 48.2969 4.29688\n",
"Q39.8906 4.29688 34.6406 10.375\n",
"Q29.3906 16.4531 29.3906 26.2188\n",
"Q29.3906 35.9844 34.6562 42.0781\n",
"Q39.9375 48.1875 48.2969 48.1875\n",
"Q53.3281 48.1875 57.125 46.3594\n",
"Q60.9375 44.5312 63.8125 40.8281\n",
"L63.8125 47.2188\n",
"L70.7969 47.2188\n",
"L70.7969 11.2812\n",
"Q77.9375 12.3594 81.9531 17.7969\n",
"Q85.9844 23.25 85.9844 31.8906\n",
"Q85.9844 37.1094 84.4375 41.7031\n",
"Q82.9062 46.2969 79.7812 50.2031\n",
"Q74.7031 56.5938 67.4062 59.9844\n",
"Q60.1094 63.375 51.5156 63.375\n",
"Q45.5156 63.375 39.9844 61.7812\n",
"Q34.4688 60.2031 29.7812 57.0781\n",
"Q22.125 52.0938 17.7969 44.0156\n",
"Q13.4844 35.9375 13.4844 26.5156\n",
"Q13.4844 18.75 16.2812 11.9531\n",
"Q19.0938 5.17188 24.4219 0\n",
"Q29.5469 -5.07812 36.2812 -7.73438\n",
"Q43.0156 -10.4062 50.6875 -10.4062\n",
"Q56.9844 -10.4062 63.0625 -8.28125\n",
"Q69.1406 -6.15625 74.2188 -2.20312\n",
"L78.6094 -7.625\n",
"Q72.5156 -12.3594 65.3125 -14.875\n",
"Q58.1094 -17.3906 50.6875 -17.3906\n",
"Q41.6562 -17.3906 33.6406 -14.1875\n",
"Q25.6406 -10.9844 19.3906 -4.89062\n",
"Q13.1406 1.21875 9.85938 9.25\n",
"Q6.59375 17.2812 6.59375 26.5156\n",
"Q6.59375 35.4062 9.90625 43.4531\n",
"Q13.2344 51.5156 19.3906 57.625\n",
"Q25.6875 63.8125 33.9375 67.1094\n",
"Q42.1875 70.4062 51.4219 70.4062\n",
"Q61.7656 70.4062 70.625 66.1562\n",
"Q79.5 61.9219 85.5 54.1094\n",
"Q89.1562 49.3125 91.0781 43.7031\n",
"Q93.0156 38.0938 93.0156 32.0781\n",
"Q93.0156 19.2344 85.25 11.8125\n",
"Q77.4844 4.39062 63.8125 4.10938\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-40\"/>\n",
" <path d=\"\n",
"M56.2031 29.5938\n",
"L56.2031 25.2031\n",
"L14.8906 25.2031\n",
"Q15.4844 15.9219 20.4844 11.0625\n",
"Q25.4844 6.20312 34.4219 6.20312\n",
"Q39.5938 6.20312 44.4531 7.46875\n",
"Q49.3125 8.73438 54.1094 11.2812\n",
"L54.1094 2.78125\n",
"Q49.2656 0.734375 44.1875 -0.34375\n",
"Q39.1094 -1.42188 33.8906 -1.42188\n",
"Q20.7969 -1.42188 13.1562 6.1875\n",
"Q5.51562 13.8125 5.51562 26.8125\n",
"Q5.51562 40.2344 12.7656 48.1094\n",
"Q20.0156 56 32.3281 56\n",
"Q43.3594 56 49.7812 48.8906\n",
"Q56.2031 41.7969 56.2031 29.5938\n",
"M47.2188 32.2344\n",
"Q47.125 39.5938 43.0938 43.9844\n",
"Q39.0625 48.3906 32.4219 48.3906\n",
"Q24.9062 48.3906 20.3906 44.1406\n",
"Q15.875 39.8906 15.1875 32.1719\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-65\"/>\n",
" <path d=\"\n",
"M45.4062 46.3906\n",
"L45.4062 75.9844\n",
"L54.3906 75.9844\n",
"L54.3906 0\n",
"L45.4062 0\n",
"L45.4062 8.20312\n",
"Q42.5781 3.32812 38.25 0.953125\n",
"Q33.9375 -1.42188 27.875 -1.42188\n",
"Q17.9688 -1.42188 11.7344 6.48438\n",
"Q5.51562 14.4062 5.51562 27.2969\n",
"Q5.51562 40.1875 11.7344 48.0938\n",
"Q17.9688 56 27.875 56\n",
"Q33.9375 56 38.25 53.625\n",
"Q42.5781 51.2656 45.4062 46.3906\n",
"M14.7969 27.2969\n",
"Q14.7969 17.3906 18.875 11.75\n",
"Q22.9531 6.10938 30.0781 6.10938\n",
"Q37.2031 6.10938 41.2969 11.75\n",
"Q45.4062 17.3906 45.4062 27.2969\n",
"Q45.4062 37.2031 41.2969 42.8438\n",
"Q37.2031 48.4844 30.0781 48.4844\n",
"Q22.9531 48.4844 18.875 42.8438\n",
"Q14.7969 37.2031 14.7969 27.2969\" id=\"BitstreamVeraSans-Roman-64\"/>\n",
" <path d=\"\n",
"M45.4062 27.9844\n",
"Q45.4062 37.75 41.375 43.1094\n",
"Q37.3594 48.4844 30.0781 48.4844\n",
"Q22.8594 48.4844 18.8281 43.1094\n",
"Q14.7969 37.75 14.7969 27.9844\n",
"Q14.7969 18.2656 18.8281 12.8906\n",
"Q22.8594 7.51562 30.0781 7.51562\n",
"Q37.3594 7.51562 41.375 12.8906\n",
"Q45.4062 18.2656 45.4062 27.9844\n",
"M54.3906 6.78125\n",
"Q54.3906 -7.17188 48.1875 -13.9844\n",
"Q42 -20.7969 29.2031 -20.7969\n",
"Q24.4688 -20.7969 20.2656 -20.0938\n",
"Q16.0625 -19.3906 12.1094 -17.9219\n",
"L12.1094 -9.1875\n",
"Q16.0625 -11.3281 19.9219 -12.3438\n",
"Q23.7812 -13.375 27.7812 -13.375\n",
"Q36.625 -13.375 41.0156 -8.76562\n",
"Q45.4062 -4.15625 45.4062 5.17188\n",
"L45.4062 9.625\n",
"Q42.625 4.78125 38.2812 2.39062\n",
"Q33.9375 0 27.875 0\n",
"Q17.8281 0 11.6719 7.65625\n",
"Q5.51562 15.3281 5.51562 27.9844\n",
"Q5.51562 40.6719 11.6719 48.3281\n",
"Q17.8281 56 27.875 56\n",
"Q33.9375 56 38.2812 53.6094\n",
"Q42.625 51.2188 45.4062 46.3906\n",
"L45.4062 54.6875\n",
"L54.3906 54.6875\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-67\"/>\n",
" <path d=\"\n",
"M37.1094 75.9844\n",
"L37.1094 68.5\n",
"L28.5156 68.5\n",
"Q23.6875 68.5 21.7969 66.5469\n",
"Q19.9219 64.5938 19.9219 59.5156\n",
"L19.9219 54.6875\n",
"L34.7188 54.6875\n",
"L34.7188 47.7031\n",
"L19.9219 47.7031\n",
"L19.9219 0\n",
"L10.8906 0\n",
"L10.8906 47.7031\n",
"L2.29688 47.7031\n",
"L2.29688 54.6875\n",
"L10.8906 54.6875\n",
"L10.8906 58.5\n",
"Q10.8906 67.625 15.1406 71.7969\n",
"Q19.3906 75.9844 28.6094 75.9844\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-66\"/>\n",
" <path d=\"\n",
"M34.2812 27.4844\n",
"Q23.3906 27.4844 19.1875 25\n",
"Q14.9844 22.5156 14.9844 16.5\n",
"Q14.9844 11.7188 18.1406 8.90625\n",
"Q21.2969 6.10938 26.7031 6.10938\n",
"Q34.1875 6.10938 38.7031 11.4062\n",
"Q43.2188 16.7031 43.2188 25.4844\n",
"L43.2188 27.4844\n",
"z\n",
"\n",
"M52.2031 31.2031\n",
"L52.2031 0\n",
"L43.2188 0\n",
"L43.2188 8.29688\n",
"Q40.1406 3.32812 35.5469 0.953125\n",
"Q30.9531 -1.42188 24.3125 -1.42188\n",
"Q15.9219 -1.42188 10.9531 3.29688\n",
"Q6 8.01562 6 15.9219\n",
"Q6 25.1406 12.1719 29.8281\n",
"Q18.3594 34.5156 30.6094 34.5156\n",
"L43.2188 34.5156\n",
"L43.2188 35.4062\n",
"Q43.2188 41.6094 39.1406 45\n",
"Q35.0625 48.3906 27.6875 48.3906\n",
"Q23 48.3906 18.5469 47.2656\n",
"Q14.1094 46.1406 10.0156 43.8906\n",
"L10.0156 52.2031\n",
"Q14.9375 54.1094 19.5781 55.0469\n",
"Q24.2188 56 28.6094 56\n",
"Q40.4844 56 46.3438 49.8438\n",
"Q52.2031 43.7031 52.2031 31.2031\" id=\"BitstreamVeraSans-Roman-61\"/>\n",
" <path d=\"\n",
"M48.6875 27.2969\n",
"Q48.6875 37.2031 44.6094 42.8438\n",
"Q40.5312 48.4844 33.4062 48.4844\n",
"Q26.2656 48.4844 22.1875 42.8438\n",
"Q18.1094 37.2031 18.1094 27.2969\n",
"Q18.1094 17.3906 22.1875 11.75\n",
"Q26.2656 6.10938 33.4062 6.10938\n",
"Q40.5312 6.10938 44.6094 11.75\n",
"Q48.6875 17.3906 48.6875 27.2969\n",
"M18.1094 46.3906\n",
"Q20.9531 51.2656 25.2656 53.625\n",
"Q29.5938 56 35.5938 56\n",
"Q45.5625 56 51.7812 48.0938\n",
"Q58.0156 40.1875 58.0156 27.2969\n",
"Q58.0156 14.4062 51.7812 6.48438\n",
"Q45.5625 -1.42188 35.5938 -1.42188\n",
"Q29.5938 -1.42188 25.2656 0.953125\n",
"Q20.9531 3.32812 18.1094 8.20312\n",
"L18.1094 0\n",
"L9.07812 0\n",
"L9.07812 75.9844\n",
"L18.1094 75.9844\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-62\"/>\n",
" <path d=\"\n",
"M54.8906 33.0156\n",
"L54.8906 0\n",
"L45.9062 0\n",
"L45.9062 32.7188\n",
"Q45.9062 40.4844 42.875 44.3281\n",
"Q39.8438 48.1875 33.7969 48.1875\n",
"Q26.5156 48.1875 22.3125 43.5469\n",
"Q18.1094 38.9219 18.1094 30.9062\n",
"L18.1094 0\n",
"L9.07812 0\n",
"L9.07812 54.6875\n",
"L18.1094 54.6875\n",
"L18.1094 46.1875\n",
"Q21.3438 51.125 25.7031 53.5625\n",
"Q30.0781 56 35.7969 56\n",
"Q45.2188 56 50.0469 50.1719\n",
"Q54.8906 44.3438 54.8906 33.0156\" id=\"BitstreamVeraSans-Roman-6e\"/>\n",
" <path d=\"\n",
"M30.6094 48.3906\n",
"Q23.3906 48.3906 19.1875 42.75\n",
"Q14.9844 37.1094 14.9844 27.2969\n",
"Q14.9844 17.4844 19.1562 11.8438\n",
"Q23.3438 6.20312 30.6094 6.20312\n",
"Q37.7969 6.20312 41.9844 11.8594\n",
"Q46.1875 17.5312 46.1875 27.2969\n",
"Q46.1875 37.0156 41.9844 42.7031\n",
"Q37.7969 48.3906 30.6094 48.3906\n",
"M30.6094 56\n",
"Q42.3281 56 49.0156 48.375\n",
"Q55.7188 40.7656 55.7188 27.2969\n",
"Q55.7188 13.875 49.0156 6.21875\n",
"Q42.3281 -1.42188 30.6094 -1.42188\n",
"Q18.8438 -1.42188 12.1719 6.21875\n",
"Q5.51562 13.875 5.51562 27.2969\n",
"Q5.51562 40.7656 12.1719 48.375\n",
"Q18.8438 56 30.6094 56\" id=\"BitstreamVeraSans-Roman-6f\"/>\n",
" <path d=\"\n",
"M9.42188 75.9844\n",
"L18.4062 75.9844\n",
"L18.4062 0\n",
"L9.42188 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-6c\"/>\n",
" <path d=\"\n",
"M-0.296875 72.9062\n",
"L61.375 72.9062\n",
"L61.375 64.5938\n",
"L35.5 64.5938\n",
"L35.5 0\n",
"L25.5938 0\n",
"L25.5938 64.5938\n",
"L-0.296875 64.5938\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-54\"/>\n",
" <path d=\"\n",
"M2.98438 54.6875\n",
"L12.5 54.6875\n",
"L29.5938 8.79688\n",
"L46.6875 54.6875\n",
"L56.2031 54.6875\n",
"L35.6875 0\n",
"L23.4844 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-76\"/>\n",
" <path d=\"\n",
"M18.3125 70.2188\n",
"L18.3125 54.6875\n",
"L36.8125 54.6875\n",
"L36.8125 47.7031\n",
"L18.3125 47.7031\n",
"L18.3125 18.0156\n",
"Q18.3125 11.3281 20.1406 9.42188\n",
"Q21.9688 7.51562 27.5938 7.51562\n",
"L36.8125 7.51562\n",
"L36.8125 0\n",
"L27.5938 0\n",
"Q17.1875 0 13.2344 3.875\n",
"Q9.28125 7.76562 9.28125 18.0156\n",
"L9.28125 47.7031\n",
"L2.6875 47.7031\n",
"L2.6875 54.6875\n",
"L9.28125 54.6875\n",
"L9.28125 70.2188\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-74\"/>\n",
" <path d=\"\n",
"M8.5 21.5781\n",
"L8.5 54.6875\n",
"L17.4844 54.6875\n",
"L17.4844 21.9219\n",
"Q17.4844 14.1562 20.5 10.2656\n",
"Q23.5312 6.39062 29.5938 6.39062\n",
"Q36.8594 6.39062 41.0781 11.0312\n",
"Q45.3125 15.6719 45.3125 23.6875\n",
"L45.3125 54.6875\n",
"L54.2969 54.6875\n",
"L54.2969 0\n",
"L45.3125 0\n",
"L45.3125 8.40625\n",
"Q42.0469 3.42188 37.7188 1\n",
"Q33.4062 -1.42188 27.6875 -1.42188\n",
"Q18.2656 -1.42188 13.375 4.4375\n",
"Q8.5 10.2969 8.5 21.5781\" id=\"BitstreamVeraSans-Roman-75\"/>\n",
" <path d=\"\n",
"M41.1094 46.2969\n",
"Q39.5938 47.1719 37.8125 47.5781\n",
"Q36.0312 48 33.8906 48\n",
"Q26.2656 48 22.1875 43.0469\n",
"Q18.1094 38.0938 18.1094 28.8125\n",
"L18.1094 0\n",
"L9.07812 0\n",
"L9.07812 54.6875\n",
"L18.1094 54.6875\n",
"L18.1094 46.1875\n",
"Q20.9531 51.1719 25.4844 53.5781\n",
"Q30.0312 56 36.5312 56\n",
"Q37.4531 56 38.5781 55.875\n",
"Q39.7031 55.7656 41.0625 55.5156\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-72\"/>\n",
" <path d=\"\n",
"M44.2812 53.0781\n",
"L44.2812 44.5781\n",
"Q40.4844 46.5312 36.375 47.5\n",
"Q32.2812 48.4844 27.875 48.4844\n",
"Q21.1875 48.4844 17.8438 46.4375\n",
"Q14.5 44.3906 14.5 40.2812\n",
"Q14.5 37.1562 16.8906 35.375\n",
"Q19.2812 33.5938 26.5156 31.9844\n",
"L29.5938 31.2969\n",
"Q39.1562 29.25 43.1875 25.5156\n",
"Q47.2188 21.7812 47.2188 15.0938\n",
"Q47.2188 7.46875 41.1875 3.01562\n",
"Q35.1562 -1.42188 24.6094 -1.42188\n",
"Q20.2188 -1.42188 15.4531 -0.5625\n",
"Q10.6875 0.296875 5.42188 2\n",
"L5.42188 11.2812\n",
"Q10.4062 8.6875 15.2344 7.39062\n",
"Q20.0625 6.10938 24.8125 6.10938\n",
"Q31.1562 6.10938 34.5625 8.28125\n",
"Q37.9844 10.4531 37.9844 14.4062\n",
"Q37.9844 18.0625 35.5156 20.0156\n",
"Q33.0625 21.9688 24.7031 23.7812\n",
"L21.5781 24.5156\n",
"Q13.2344 26.2656 9.51562 29.9062\n",
"Q5.8125 33.5469 5.8125 39.8906\n",
"Q5.8125 47.6094 11.2812 51.7969\n",
"Q16.75 56 26.8125 56\n",
"Q31.7812 56 36.1719 55.2656\n",
"Q40.5781 54.5469 44.2812 53.0781\" id=\"BitstreamVeraSans-Roman-73\"/>\n",
" <path d=\"\n",
"M18.1094 8.20312\n",
"L18.1094 -20.7969\n",
"L9.07812 -20.7969\n",
"L9.07812 54.6875\n",
"L18.1094 54.6875\n",
"L18.1094 46.3906\n",
"Q20.9531 51.2656 25.2656 53.625\n",
"Q29.5938 56 35.5938 56\n",
"Q45.5625 56 51.7812 48.0938\n",
"Q58.0156 40.1875 58.0156 27.2969\n",
"Q58.0156 14.4062 51.7812 6.48438\n",
"Q45.5625 -1.42188 35.5938 -1.42188\n",
"Q29.5938 -1.42188 25.2656 0.953125\n",
"Q20.9531 3.32812 18.1094 8.20312\n",
"M48.6875 27.2969\n",
"Q48.6875 37.2031 44.6094 42.8438\n",
"Q40.5312 48.4844 33.4062 48.4844\n",
"Q26.2656 48.4844 22.1875 42.8438\n",
"Q18.1094 37.2031 18.1094 27.2969\n",
"Q18.1094 17.3906 22.1875 11.75\n",
"Q26.2656 6.10938 33.4062 6.10938\n",
"Q40.5312 6.10938 44.6094 11.75\n",
"Q48.6875 17.3906 48.6875 27.2969\" id=\"BitstreamVeraSans-Roman-70\"/>\n",
" </defs>\n",
" <g transform=\"translate(82.562625 18.14175)scale(0.144 -0.144)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-53\"/>\n",
" <use x=\"63.4765625\" xlink:href=\"#BitstreamVeraSans-Roman-6f\"/>\n",
" <use x=\"124.658203125\" xlink:href=\"#BitstreamVeraSans-Roman-66\"/>\n",
" <use x=\"158.11328125\" xlink:href=\"#BitstreamVeraSans-Roman-74\"/>\n",
" <use x=\"197.322265625\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"229.109375\" xlink:href=\"#BitstreamVeraSans-Roman-61\"/>\n",
" <use x=\"290.388671875\" xlink:href=\"#BitstreamVeraSans-Roman-76\"/>\n",
" <use x=\"349.568359375\" xlink:href=\"#BitstreamVeraSans-Roman-67\"/>\n",
" <use x=\"413.044921875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"444.83203125\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"476.619140625\" xlink:href=\"#BitstreamVeraSans-Roman-28\"/>\n",
" <use x=\"515.6328125\" xlink:href=\"#BitstreamVeraSans-Roman-72\"/>\n",
" <use x=\"554.49609375\" xlink:href=\"#BitstreamVeraSans-Roman-65\"/>\n",
" <use x=\"616.01953125\" xlink:href=\"#BitstreamVeraSans-Roman-64\"/>\n",
" <use x=\"679.49609375\" xlink:href=\"#BitstreamVeraSans-Roman-29\"/>\n",
" <use x=\"718.509765625\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"750.296875\" xlink:href=\"#BitstreamVeraSans-Roman-76\"/>\n",
" <use x=\"809.4765625\" xlink:href=\"#BitstreamVeraSans-Roman-73\"/>\n",
" <use x=\"861.576171875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"893.36328125\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"925.150390625\" xlink:href=\"#BitstreamVeraSans-Roman-54\"/>\n",
" <use x=\"986.234375\" xlink:href=\"#BitstreamVeraSans-Roman-68\"/>\n",
" <use x=\"1049.61328125\" xlink:href=\"#BitstreamVeraSans-Roman-72\"/>\n",
" <use x=\"1088.4765625\" xlink:href=\"#BitstreamVeraSans-Roman-65\"/>\n",
" <use x=\"1150.0\" xlink:href=\"#BitstreamVeraSans-Roman-73\"/>\n",
" <use x=\"1202.09960938\" xlink:href=\"#BitstreamVeraSans-Roman-68\"/>\n",
" <use x=\"1265.47851562\" xlink:href=\"#BitstreamVeraSans-Roman-6f\"/>\n",
" <use x=\"1326.66015625\" xlink:href=\"#BitstreamVeraSans-Roman-6c\"/>\n",
" <use x=\"1354.44335938\" xlink:href=\"#BitstreamVeraSans-Roman-64\"/>\n",
" <use x=\"1417.91992188\" xlink:href=\"#BitstreamVeraSans-Roman-69\"/>\n",
" <use x=\"1445.703125\" xlink:href=\"#BitstreamVeraSans-Roman-6e\"/>\n",
" <use x=\"1509.08203125\" xlink:href=\"#BitstreamVeraSans-Roman-67\"/>\n",
" <use x=\"1572.55859375\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"1604.34570312\" xlink:href=\"#BitstreamVeraSans-Roman-28\"/>\n",
" <use x=\"1643.359375\" xlink:href=\"#BitstreamVeraSans-Roman-62\"/>\n",
" <use x=\"1706.8359375\" xlink:href=\"#BitstreamVeraSans-Roman-6c\"/>\n",
" <use x=\"1734.61914062\" xlink:href=\"#BitstreamVeraSans-Roman-75\"/>\n",
" <use x=\"1797.99804688\" xlink:href=\"#BitstreamVeraSans-Roman-65\"/>\n",
" <use x=\"1859.52148438\" xlink:href=\"#BitstreamVeraSans-Roman-29\"/>\n",
" <use x=\"1898.53515625\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"1930.32226562\" xlink:href=\"#BitstreamVeraSans-Roman-40\"/>\n",
" <use x=\"2030.32226562\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"2062.109375\" xlink:href=\"#BitstreamVeraSans-Roman-31\"/>\n",
" <use x=\"2125.73242188\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"2189.35546875\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"2252.97851562\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"2316.6015625\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"2348.38867188\" xlink:href=\"#BitstreamVeraSans-Roman-72\"/>\n",
" <use x=\"2387.25195312\" xlink:href=\"#BitstreamVeraSans-Roman-65\"/>\n",
" <use x=\"2448.77539062\" xlink:href=\"#BitstreamVeraSans-Roman-70\"/>\n",
" <use x=\"2512.25195312\" xlink:href=\"#BitstreamVeraSans-Roman-73\"/>\n",
" <use x=\"2564.3515625\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"2596.13867188\" xlink:href=\"#BitstreamVeraSans-Roman-28\"/>\n",
" <use x=\"2635.15234375\" xlink:href=\"#BitstreamVeraSans-Roman-7a\"/>\n",
" <use x=\"2687.64257812\" xlink:href=\"#BitstreamVeraSans-Roman-3d\"/>\n",
" <use x=\"2771.43164062\" xlink:href=\"#BitstreamVeraSans-Roman-31\"/>\n",
" <use x=\"2835.0546875\" xlink:href=\"#BitstreamVeraSans-Roman-29\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <defs>\n",
" <clipPath id=\"p1abea4b430\">\n",
" <rect height=\"345.6\" width=\"446.4\" x=\"65.6775\" y=\"23.14175\"/>\n",
" </clipPath>\n",
" </defs>\n",
"</svg>\n"
],
"text": [
"Figure(PyObject <matplotlib.figure.Figure object at 0x149a08cd0>)"
]
}
],
"prompt_number": 103
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"fill_between(SNRs,vec(zz_soft_mse[2,1,:]-zz_soft_mse[2,2,:]),vec(zz_soft_mse[2,1,:]+zz_soft_mse[2,3,:]),facecolor=\"red\",alpha=.5);\n",
"plot(SNRs,vec(zz_soft_mse[2,1,:]),\"r-\")\n",
"fill_between(SNRs,vec(zz_hard_mse[2,1,:]-zz_hard_mse[2,2,:]),vec(zz_hard_mse[2,1,:]+zz_hard_mse[2,3,:]),facecolor=\"blue\",alpha=.5);\n",
"plot(SNRs,vec(zz_hard_mse[2,1,:]),\"b-\")\n",
"xlabel(\"SNR\");\n",
"ylabel(\"MSE\");\n",
"title(\"Soft avg. (red) vs. Thresholding (blue) @ 1000 reps (z=0)\");"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": "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",
"svg": [
"<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n",
"<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n",
" \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n",
"<!-- Created with matplotlib (http://matplotlib.org/) -->\n",
"<svg height=\"403pt\" version=\"1.1\" viewBox=\"0 0 527 403\" width=\"527pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n",
" <defs>\n",
" <style type=\"text/css\">\n",
"*{stroke-linecap:square;stroke-linejoin:round;}\n",
" </style>\n",
" </defs>\n",
" <g id=\"figure_1\">\n",
" <g id=\"patch_1\">\n",
" <path d=\"\n",
"M0 403.095\n",
"L527.979 403.095\n",
"L527.979 0\n",
"L0 0\n",
"z\n",
"\" style=\"fill:#ffffff;\"/>\n",
" </g>\n",
" <g id=\"axes_1\">\n",
" <g id=\"patch_2\">\n",
" <path d=\"\n",
"M65.8012 368.742\n",
"L512.201 368.742\n",
"L512.201 23.1417\n",
"L65.8012 23.1417\n",
"z\n",
"\" style=\"fill:#ffffff;\"/>\n",
" </g>\n",
" <g id=\"PolyCollection_1\">\n",
" <defs>\n",
" <path d=\"\n",
"M65.8012 -246.022\n",
"L65.8012 -217.741\n",
"L115.401 -176.344\n",
"L165.001 -149.288\n",
"L214.601 -123.235\n",
"L264.201 -105.076\n",
"L313.801 -92.59\n",
"L363.401 -87.5776\n",
"L413.001 -77.2529\n",
"L462.601 -74.4516\n",
"L512.201 -77.3105\n",
"L512.201 -89.4807\n",
"L512.201 -89.4807\n",
"L462.601 -86.0207\n",
"L413.001 -90.0221\n",
"L363.401 -100.612\n",
"L313.801 -106.386\n",
"L264.201 -119.394\n",
"L214.601 -140.643\n",
"L165.001 -168.264\n",
"L115.401 -199.468\n",
"L65.8012 -246.022\n",
"z\n",
"\" id=\"C0_0_365a54cf39\"/>\n",
" </defs>\n",
" <g clip-path=\"url(#pb1fd7b6f9c)\">\n",
" <use style=\"fill:#ff0000;opacity:0.5;stroke:#000000;stroke-linecap:butt;\" x=\"0\" xlink:href=\"#C0_0_365a54cf39\" y=\"403.0955\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"PolyCollection_2\">\n",
" <defs>\n",
" <path d=\"\n",
"M65.8012 -331.412\n",
"L65.8012 -298.731\n",
"L115.401 -170.599\n",
"L165.001 -149.994\n",
"L214.601 -118.473\n",
"L264.201 -89.5286\n",
"L313.801 -80.3706\n",
"L363.401 -65.4607\n",
"L413.001 -68.3659\n",
"L462.601 -52.6395\n",
"L512.201 -54.5037\n",
"L512.201 -64.2679\n",
"L512.201 -64.2679\n",
"L462.601 -62.8133\n",
"L413.001 -79.5207\n",
"L363.401 -77.2474\n",
"L313.801 -92.3213\n",
"L264.201 -102.99\n",
"L214.601 -134.387\n",
"L165.001 -170.179\n",
"L115.401 -193.107\n",
"L65.8012 -331.412\n",
"z\n",
"\" id=\"C1_0_3db1733904\"/>\n",
" </defs>\n",
" <g clip-path=\"url(#pb1fd7b6f9c)\">\n",
" <use style=\"fill:#0000ff;opacity:0.5;stroke:#000000;stroke-linecap:butt;\" x=\"0\" xlink:href=\"#C1_0_3db1733904\" y=\"403.0955\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_1\">\n",
" <path clip-path=\"url(#pb1fd7b6f9c)\" d=\"\n",
"M65.8012 159.724\n",
"L115.401 205.674\n",
"L165.001 236.524\n",
"L214.601 264.037\n",
"L264.201 285.071\n",
"L313.801 298.064\n",
"L363.401 303.662\n",
"L413.001 314.25\n",
"L462.601 318.12\n",
"L512.201 314.714\" style=\"fill:none;stroke:#ff0000;\"/>\n",
" </g>\n",
" <g id=\"line2d_2\">\n",
" <path clip-path=\"url(#pb1fd7b6f9c)\" d=\"\n",
"M65.8012 74.4228\n",
"L115.401 212.052\n",
"L165.001 234.463\n",
"L214.601 270.109\n",
"L264.201 301.338\n",
"L313.801 311.826\n",
"L363.401 326.864\n",
"L413.001 324.57\n",
"L462.601 341.165\n",
"L512.201 339.634\" style=\"fill:none;stroke:#0000ff;\"/>\n",
" </g>\n",
" <g id=\"matplotlib.axis_1\">\n",
" <g id=\"xtick_1\">\n",
" <g id=\"line2d_3\">\n",
" <defs>\n",
" <path d=\"\n",
"M0 0\n",
"L0 -4\" id=\"mcb557df647\" style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\"/>\n",
" </defs>\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"65.80125\" xlink:href=\"#mcb557df647\" y=\"368.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_4\">\n",
" <defs>\n",
" <path d=\"\n",
"M0 0\n",
"L0 4\" id=\"mdad270ee8e\" style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\"/>\n",
" </defs>\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"65.80125\" xlink:href=\"#mdad270ee8e\" y=\"23.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_1\">\n",
" <!-- 0.5 -->\n",
" <defs>\n",
" <path d=\"\n",
"M31.7812 66.4062\n",
"Q24.1719 66.4062 20.3281 58.9062\n",
"Q16.5 51.4219 16.5 36.375\n",
"Q16.5 21.3906 20.3281 13.8906\n",
"Q24.1719 6.39062 31.7812 6.39062\n",
"Q39.4531 6.39062 43.2812 13.8906\n",
"Q47.125 21.3906 47.125 36.375\n",
"Q47.125 51.4219 43.2812 58.9062\n",
"Q39.4531 66.4062 31.7812 66.4062\n",
"M31.7812 74.2188\n",
"Q44.0469 74.2188 50.5156 64.5156\n",
"Q56.9844 54.8281 56.9844 36.375\n",
"Q56.9844 17.9688 50.5156 8.26562\n",
"Q44.0469 -1.42188 31.7812 -1.42188\n",
"Q19.5312 -1.42188 13.0625 8.26562\n",
"Q6.59375 17.9688 6.59375 36.375\n",
"Q6.59375 54.8281 13.0625 64.5156\n",
"Q19.5312 74.2188 31.7812 74.2188\" id=\"BitstreamVeraSans-Roman-30\"/>\n",
" <path d=\"\n",
"M10.6875 12.4062\n",
"L21 12.4062\n",
"L21 0\n",
"L10.6875 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-2e\"/>\n",
" <path d=\"\n",
"M10.7969 72.9062\n",
"L49.5156 72.9062\n",
"L49.5156 64.5938\n",
"L19.8281 64.5938\n",
"L19.8281 46.7344\n",
"Q21.9688 47.4688 24.1094 47.8281\n",
"Q26.2656 48.1875 28.4219 48.1875\n",
"Q40.625 48.1875 47.75 41.5\n",
"Q54.8906 34.8125 54.8906 23.3906\n",
"Q54.8906 11.625 47.5625 5.09375\n",
"Q40.2344 -1.42188 26.9062 -1.42188\n",
"Q22.3125 -1.42188 17.5469 -0.640625\n",
"Q12.7969 0.140625 7.71875 1.70312\n",
"L7.71875 11.625\n",
"Q12.1094 9.23438 16.7969 8.0625\n",
"Q21.4844 6.89062 26.7031 6.89062\n",
"Q35.1562 6.89062 40.0781 11.3281\n",
"Q45.0156 15.7656 45.0156 23.3906\n",
"Q45.0156 31 40.0781 35.4375\n",
"Q35.1562 39.8906 26.7031 39.8906\n",
"Q22.75 39.8906 18.8125 39.0156\n",
"Q14.8906 38.1406 10.7969 36.2812\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-35\"/>\n",
" </defs>\n",
" <g transform=\"translate(57.1790625 381.648)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-35\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_2\">\n",
" <g id=\"line2d_5\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"177.40125\" xlink:href=\"#mcb557df647\" y=\"368.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_6\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"177.40125\" xlink:href=\"#mdad270ee8e\" y=\"23.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_2\">\n",
" <!-- 1.0 -->\n",
" <defs>\n",
" <path d=\"\n",
"M12.4062 8.29688\n",
"L28.5156 8.29688\n",
"L28.5156 63.9219\n",
"L10.9844 60.4062\n",
"L10.9844 69.3906\n",
"L28.4219 72.9062\n",
"L38.2812 72.9062\n",
"L38.2812 8.29688\n",
"L54.3906 8.29688\n",
"L54.3906 0\n",
"L12.4062 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-31\"/>\n",
" </defs>\n",
" <g transform=\"translate(168.916875 381.648)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-31\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_3\">\n",
" <g id=\"line2d_7\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"289.00125\" xlink:href=\"#mcb557df647\" y=\"368.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_8\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"289.00125\" xlink:href=\"#mdad270ee8e\" y=\"23.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_3\">\n",
" <!-- 1.5 -->\n",
" <g transform=\"translate(280.6425 381.4905)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-31\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-35\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_4\">\n",
" <g id=\"line2d_9\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"400.60125\" xlink:href=\"#mcb557df647\" y=\"368.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_10\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"400.60125\" xlink:href=\"#mdad270ee8e\" y=\"23.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_4\">\n",
" <!-- 2.0 -->\n",
" <defs>\n",
" <path d=\"\n",
"M19.1875 8.29688\n",
"L53.6094 8.29688\n",
"L53.6094 0\n",
"L7.32812 0\n",
"L7.32812 8.29688\n",
"Q12.9375 14.1094 22.625 23.8906\n",
"Q32.3281 33.6875 34.8125 36.5312\n",
"Q39.5469 41.8438 41.4219 45.5312\n",
"Q43.3125 49.2188 43.3125 52.7812\n",
"Q43.3125 58.5938 39.2344 62.25\n",
"Q35.1562 65.9219 28.6094 65.9219\n",
"Q23.9688 65.9219 18.8125 64.3125\n",
"Q13.6719 62.7031 7.8125 59.4219\n",
"L7.8125 69.3906\n",
"Q13.7656 71.7812 18.9375 73\n",
"Q24.125 74.2188 28.4219 74.2188\n",
"Q39.75 74.2188 46.4844 68.5469\n",
"Q53.2188 62.8906 53.2188 53.4219\n",
"Q53.2188 48.9219 51.5312 44.8906\n",
"Q49.8594 40.875 45.4062 35.4062\n",
"Q44.1875 33.9844 37.6406 27.2188\n",
"Q31.1094 20.4531 19.1875 8.29688\" id=\"BitstreamVeraSans-Roman-32\"/>\n",
" </defs>\n",
" <g transform=\"translate(391.8975 381.648)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-32\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_5\">\n",
" <g id=\"line2d_11\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"512.20125\" xlink:href=\"#mcb557df647\" y=\"368.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_12\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"512.20125\" xlink:href=\"#mdad270ee8e\" y=\"23.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_5\">\n",
" <!-- 2.5 -->\n",
" <g transform=\"translate(503.623125 381.648)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-32\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-35\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_6\">\n",
" <!-- SNR -->\n",
" <defs>\n",
" <path d=\"\n",
"M9.8125 72.9062\n",
"L23.0938 72.9062\n",
"L55.4219 11.9219\n",
"L55.4219 72.9062\n",
"L64.9844 72.9062\n",
"L64.9844 0\n",
"L51.7031 0\n",
"L19.3906 60.9844\n",
"L19.3906 0\n",
"L9.8125 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-4e\"/>\n",
" <path d=\"\n",
"M53.5156 70.5156\n",
"L53.5156 60.8906\n",
"Q47.9062 63.5781 42.9219 64.8906\n",
"Q37.9375 66.2188 33.2969 66.2188\n",
"Q25.25 66.2188 20.875 63.0938\n",
"Q16.5 59.9688 16.5 54.2031\n",
"Q16.5 49.3594 19.4062 46.8906\n",
"Q22.3125 44.4375 30.4219 42.9219\n",
"L36.375 41.7031\n",
"Q47.4062 39.5938 52.6562 34.2969\n",
"Q57.9062 29 57.9062 20.125\n",
"Q57.9062 9.51562 50.7969 4.04688\n",
"Q43.7031 -1.42188 29.9844 -1.42188\n",
"Q24.8125 -1.42188 18.9688 -0.25\n",
"Q13.1406 0.921875 6.89062 3.21875\n",
"L6.89062 13.375\n",
"Q12.8906 10.0156 18.6562 8.29688\n",
"Q24.4219 6.59375 29.9844 6.59375\n",
"Q38.4219 6.59375 43.0156 9.90625\n",
"Q47.6094 13.2344 47.6094 19.3906\n",
"Q47.6094 24.75 44.3125 27.7812\n",
"Q41.0156 30.8125 33.5 32.3281\n",
"L27.4844 33.5\n",
"Q16.4531 35.6875 11.5156 40.375\n",
"Q6.59375 45.0625 6.59375 53.4219\n",
"Q6.59375 63.0938 13.4062 68.6562\n",
"Q20.2188 74.2188 32.1719 74.2188\n",
"Q37.3125 74.2188 42.625 73.2812\n",
"Q47.9531 72.3594 53.5156 70.5156\" id=\"BitstreamVeraSans-Roman-53\"/>\n",
" <path d=\"\n",
"M44.3906 34.1875\n",
"Q47.5625 33.1094 50.5625 29.5938\n",
"Q53.5625 26.0781 56.5938 19.9219\n",
"L66.6094 0\n",
"L56 0\n",
"L46.6875 18.7031\n",
"Q43.0625 26.0312 39.6719 28.4219\n",
"Q36.2812 30.8125 30.4219 30.8125\n",
"L19.6719 30.8125\n",
"L19.6719 0\n",
"L9.8125 0\n",
"L9.8125 72.9062\n",
"L32.0781 72.9062\n",
"Q44.5781 72.9062 50.7344 67.6719\n",
"Q56.8906 62.4531 56.8906 51.9062\n",
"Q56.8906 45.0156 53.6875 40.4688\n",
"Q50.4844 35.9375 44.3906 34.1875\n",
"M19.6719 64.7969\n",
"L19.6719 38.9219\n",
"L32.0781 38.9219\n",
"Q39.2031 38.9219 42.8438 42.2188\n",
"Q46.4844 45.5156 46.4844 51.9062\n",
"Q46.4844 58.2969 42.8438 61.5469\n",
"Q39.2031 64.7969 32.0781 64.7969\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-52\"/>\n",
" </defs>\n",
" <g transform=\"translate(277.1025 395.724875)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-53\"/>\n",
" <use x=\"63.4765625\" xlink:href=\"#BitstreamVeraSans-Roman-4e\"/>\n",
" <use x=\"138.28125\" xlink:href=\"#BitstreamVeraSans-Roman-52\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"matplotlib.axis_2\">\n",
" <g id=\"ytick_1\">\n",
" <g id=\"line2d_13\">\n",
" <defs>\n",
" <path d=\"\n",
"M0 0\n",
"L4 0\" id=\"mc8fcea1516\" style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\"/>\n",
" </defs>\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"65.80125\" xlink:href=\"#mc8fcea1516\" y=\"368.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_14\">\n",
" <defs>\n",
" <path d=\"\n",
"M0 0\n",
"L-4 0\" id=\"m0d5b0a6425\" style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\"/>\n",
" </defs>\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"512.20125\" xlink:href=\"#m0d5b0a6425\" y=\"368.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_7\">\n",
" <!-- 0.0002 -->\n",
" <g transform=\"translate(21.805625 373.1095625)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"222.65625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"286.279296875\" xlink:href=\"#BitstreamVeraSans-Roman-32\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_2\">\n",
" <g id=\"line2d_15\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"65.80125\" xlink:href=\"#mc8fcea1516\" y=\"311.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_16\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"512.20125\" xlink:href=\"#m0d5b0a6425\" y=\"311.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_8\">\n",
" <!-- 0.0004 -->\n",
" <defs>\n",
" <path d=\"\n",
"M37.7969 64.3125\n",
"L12.8906 25.3906\n",
"L37.7969 25.3906\n",
"z\n",
"\n",
"M35.2031 72.9062\n",
"L47.6094 72.9062\n",
"L47.6094 25.3906\n",
"L58.0156 25.3906\n",
"L58.0156 17.1875\n",
"L47.6094 17.1875\n",
"L47.6094 0\n",
"L37.7969 0\n",
"L37.7969 17.1875\n",
"L4.89062 17.1875\n",
"L4.89062 26.7031\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-34\"/>\n",
" </defs>\n",
" <g transform=\"translate(21.276875 315.5095625)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"222.65625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"286.279296875\" xlink:href=\"#BitstreamVeraSans-Roman-34\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_3\">\n",
" <g id=\"line2d_17\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"65.80125\" xlink:href=\"#mc8fcea1516\" y=\"253.54175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_18\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"512.20125\" xlink:href=\"#m0d5b0a6425\" y=\"253.54175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_9\">\n",
" <!-- 0.0006 -->\n",
" <defs>\n",
" <path d=\"\n",
"M33.0156 40.375\n",
"Q26.375 40.375 22.4844 35.8281\n",
"Q18.6094 31.2969 18.6094 23.3906\n",
"Q18.6094 15.5312 22.4844 10.9531\n",
"Q26.375 6.39062 33.0156 6.39062\n",
"Q39.6562 6.39062 43.5312 10.9531\n",
"Q47.4062 15.5312 47.4062 23.3906\n",
"Q47.4062 31.2969 43.5312 35.8281\n",
"Q39.6562 40.375 33.0156 40.375\n",
"M52.5938 71.2969\n",
"L52.5938 62.3125\n",
"Q48.875 64.0625 45.0938 64.9844\n",
"Q41.3125 65.9219 37.5938 65.9219\n",
"Q27.8281 65.9219 22.6719 59.3281\n",
"Q17.5312 52.7344 16.7969 39.4062\n",
"Q19.6719 43.6562 24.0156 45.9219\n",
"Q28.375 48.1875 33.5938 48.1875\n",
"Q44.5781 48.1875 50.9531 41.5156\n",
"Q57.3281 34.8594 57.3281 23.3906\n",
"Q57.3281 12.1562 50.6875 5.35938\n",
"Q44.0469 -1.42188 33.0156 -1.42188\n",
"Q20.3594 -1.42188 13.6719 8.26562\n",
"Q6.98438 17.9688 6.98438 36.375\n",
"Q6.98438 53.6562 15.1875 63.9375\n",
"Q23.3906 74.2188 37.2031 74.2188\n",
"Q40.9219 74.2188 44.7031 73.4844\n",
"Q48.4844 72.75 52.5938 71.2969\" id=\"BitstreamVeraSans-Roman-36\"/>\n",
" </defs>\n",
" <g transform=\"translate(21.359375 257.9095625)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"222.65625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"286.279296875\" xlink:href=\"#BitstreamVeraSans-Roman-36\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_4\">\n",
" <g id=\"line2d_19\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"65.80125\" xlink:href=\"#mc8fcea1516\" y=\"195.94175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_20\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"512.20125\" xlink:href=\"#m0d5b0a6425\" y=\"195.94175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_10\">\n",
" <!-- 0.0008 -->\n",
" <defs>\n",
" <path d=\"\n",
"M31.7812 34.625\n",
"Q24.75 34.625 20.7188 30.8594\n",
"Q16.7031 27.0938 16.7031 20.5156\n",
"Q16.7031 13.9219 20.7188 10.1562\n",
"Q24.75 6.39062 31.7812 6.39062\n",
"Q38.8125 6.39062 42.8594 10.1719\n",
"Q46.9219 13.9688 46.9219 20.5156\n",
"Q46.9219 27.0938 42.8906 30.8594\n",
"Q38.875 34.625 31.7812 34.625\n",
"M21.9219 38.8125\n",
"Q15.5781 40.375 12.0312 44.7188\n",
"Q8.5 49.0781 8.5 55.3281\n",
"Q8.5 64.0625 14.7188 69.1406\n",
"Q20.9531 74.2188 31.7812 74.2188\n",
"Q42.6719 74.2188 48.875 69.1406\n",
"Q55.0781 64.0625 55.0781 55.3281\n",
"Q55.0781 49.0781 51.5312 44.7188\n",
"Q48 40.375 41.7031 38.8125\n",
"Q48.8281 37.1562 52.7969 32.3125\n",
"Q56.7812 27.4844 56.7812 20.5156\n",
"Q56.7812 9.90625 50.3125 4.23438\n",
"Q43.8438 -1.42188 31.7812 -1.42188\n",
"Q19.7344 -1.42188 13.25 4.23438\n",
"Q6.78125 9.90625 6.78125 20.5156\n",
"Q6.78125 27.4844 10.7812 32.3125\n",
"Q14.7969 37.1562 21.9219 38.8125\n",
"M18.3125 54.3906\n",
"Q18.3125 48.7344 21.8438 45.5625\n",
"Q25.3906 42.3906 31.7812 42.3906\n",
"Q38.1406 42.3906 41.7188 45.5625\n",
"Q45.3125 48.7344 45.3125 54.3906\n",
"Q45.3125 60.0625 41.7188 63.2344\n",
"Q38.1406 66.4062 31.7812 66.4062\n",
"Q25.3906 66.4062 21.8438 63.2344\n",
"Q18.3125 60.0625 18.3125 54.3906\" id=\"BitstreamVeraSans-Roman-38\"/>\n",
" </defs>\n",
" <g transform=\"translate(21.425 200.3095625)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"222.65625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"286.279296875\" xlink:href=\"#BitstreamVeraSans-Roman-38\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_5\">\n",
" <g id=\"line2d_21\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"65.80125\" xlink:href=\"#mc8fcea1516\" y=\"138.34175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_22\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"512.20125\" xlink:href=\"#m0d5b0a6425\" y=\"138.34175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_11\">\n",
" <!-- 0.0010 -->\n",
" <g transform=\"translate(21.400625 142.7095625)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"222.65625\" xlink:href=\"#BitstreamVeraSans-Roman-31\"/>\n",
" <use x=\"286.279296875\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_6\">\n",
" <g id=\"line2d_23\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"65.80125\" xlink:href=\"#mc8fcea1516\" y=\"80.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_24\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"512.20125\" xlink:href=\"#m0d5b0a6425\" y=\"80.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_12\">\n",
" <!-- 0.0012 -->\n",
" <g transform=\"translate(21.805625 85.1095625)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"222.65625\" xlink:href=\"#BitstreamVeraSans-Roman-31\"/>\n",
" <use x=\"286.279296875\" xlink:href=\"#BitstreamVeraSans-Roman-32\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_7\">\n",
" <g id=\"line2d_25\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"65.80125\" xlink:href=\"#mc8fcea1516\" y=\"23.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_26\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"512.20125\" xlink:href=\"#m0d5b0a6425\" y=\"23.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_13\">\n",
" <!-- 0.0014 -->\n",
" <g transform=\"translate(21.276875 27.5095625)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"222.65625\" xlink:href=\"#BitstreamVeraSans-Roman-31\"/>\n",
" <use x=\"286.279296875\" xlink:href=\"#BitstreamVeraSans-Roman-34\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_14\">\n",
" <!-- MSE -->\n",
" <defs>\n",
" <path d=\"\n",
"M9.8125 72.9062\n",
"L55.9062 72.9062\n",
"L55.9062 64.5938\n",
"L19.6719 64.5938\n",
"L19.6719 43.0156\n",
"L54.3906 43.0156\n",
"L54.3906 34.7188\n",
"L19.6719 34.7188\n",
"L19.6719 8.29688\n",
"L56.7812 8.29688\n",
"L56.7812 0\n",
"L9.8125 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-45\"/>\n",
" <path d=\"\n",
"M9.8125 72.9062\n",
"L24.5156 72.9062\n",
"L43.1094 23.2969\n",
"L61.8125 72.9062\n",
"L76.5156 72.9062\n",
"L76.5156 0\n",
"L66.8906 0\n",
"L66.8906 64.0156\n",
"L48.0938 14.0156\n",
"L38.1875 14.0156\n",
"L19.3906 64.0156\n",
"L19.3906 0\n",
"L9.8125 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-4d\"/>\n",
" </defs>\n",
" <g transform=\"translate(16.276875 207.5751875)rotate(-90.0)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-4d\"/>\n",
" <use x=\"86.279296875\" xlink:href=\"#BitstreamVeraSans-Roman-53\"/>\n",
" <use x=\"149.755859375\" xlink:href=\"#BitstreamVeraSans-Roman-45\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"patch_3\">\n",
" <path d=\"\n",
"M65.8012 23.1417\n",
"L512.201 23.1417\" style=\"fill:none;stroke:#000000;\"/>\n",
" </g>\n",
" <g id=\"patch_4\">\n",
" <path d=\"\n",
"M512.201 368.742\n",
"L512.201 23.1417\" style=\"fill:none;stroke:#000000;\"/>\n",
" </g>\n",
" <g id=\"patch_5\">\n",
" <path d=\"\n",
"M65.8012 368.742\n",
"L512.201 368.742\" style=\"fill:none;stroke:#000000;\"/>\n",
" </g>\n",
" <g id=\"patch_6\">\n",
" <path d=\"\n",
"M65.8012 368.742\n",
"L65.8012 23.1417\" style=\"fill:none;stroke:#000000;\"/>\n",
" </g>\n",
" <g id=\"text_15\">\n",
" <!-- Soft avg. (red) vs. Thresholding (blue) @ 1000 reps (z=0) -->\n",
" <defs>\n",
" <path id=\"BitstreamVeraSans-Roman-20\"/>\n",
" <path d=\"\n",
"M8.01562 75.875\n",
"L15.8281 75.875\n",
"Q23.1406 64.3594 26.7812 53.3125\n",
"Q30.4219 42.2812 30.4219 31.3906\n",
"Q30.4219 20.4531 26.7812 9.375\n",
"Q23.1406 -1.70312 15.8281 -13.1875\n",
"L8.01562 -13.1875\n",
"Q14.5 -2 17.7031 9.0625\n",
"Q20.9062 20.125 20.9062 31.3906\n",
"Q20.9062 42.6719 17.7031 53.6562\n",
"Q14.5 64.6562 8.01562 75.875\" id=\"BitstreamVeraSans-Roman-29\"/>\n",
" <path d=\"\n",
"M31 75.875\n",
"Q24.4688 64.6562 21.2812 53.6562\n",
"Q18.1094 42.6719 18.1094 31.3906\n",
"Q18.1094 20.125 21.3125 9.0625\n",
"Q24.5156 -2 31 -13.1875\n",
"L23.1875 -13.1875\n",
"Q15.875 -1.70312 12.2344 9.375\n",
"Q8.59375 20.4531 8.59375 31.3906\n",
"Q8.59375 42.2812 12.2031 53.3125\n",
"Q15.8281 64.3594 23.1875 75.875\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-28\"/>\n",
" <path d=\"\n",
"M5.51562 54.6875\n",
"L48.1875 54.6875\n",
"L48.1875 46.4844\n",
"L14.4062 7.17188\n",
"L48.1875 7.17188\n",
"L48.1875 0\n",
"L4.29688 0\n",
"L4.29688 8.20312\n",
"L38.0938 47.5156\n",
"L5.51562 47.5156\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-7a\"/>\n",
" <path d=\"\n",
"M9.42188 54.6875\n",
"L18.4062 54.6875\n",
"L18.4062 0\n",
"L9.42188 0\n",
"z\n",
"\n",
"M9.42188 75.9844\n",
"L18.4062 75.9844\n",
"L18.4062 64.5938\n",
"L9.42188 64.5938\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-69\"/>\n",
" <path d=\"\n",
"M54.8906 33.0156\n",
"L54.8906 0\n",
"L45.9062 0\n",
"L45.9062 32.7188\n",
"Q45.9062 40.4844 42.875 44.3281\n",
"Q39.8438 48.1875 33.7969 48.1875\n",
"Q26.5156 48.1875 22.3125 43.5469\n",
"Q18.1094 38.9219 18.1094 30.9062\n",
"L18.1094 0\n",
"L9.07812 0\n",
"L9.07812 75.9844\n",
"L18.1094 75.9844\n",
"L18.1094 46.1875\n",
"Q21.3438 51.125 25.7031 53.5625\n",
"Q30.0781 56 35.7969 56\n",
"Q45.2188 56 50.0469 50.1719\n",
"Q54.8906 44.3438 54.8906 33.0156\" id=\"BitstreamVeraSans-Roman-68\"/>\n",
" <path d=\"\n",
"M10.5938 45.4062\n",
"L73.1875 45.4062\n",
"L73.1875 37.2031\n",
"L10.5938 37.2031\n",
"z\n",
"\n",
"M10.5938 25.4844\n",
"L73.1875 25.4844\n",
"L73.1875 17.1875\n",
"L10.5938 17.1875\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-3d\"/>\n",
" <path d=\"\n",
"M37.2031 26.2188\n",
"Q37.2031 19.2344 40.6719 15.25\n",
"Q44.1406 11.2812 50.2031 11.2812\n",
"Q56.2031 11.2812 59.6406 15.2812\n",
"Q63.0938 19.2812 63.0938 26.2188\n",
"Q63.0938 33.0625 59.5781 37.0781\n",
"Q56.0625 41.1094 50.0938 41.1094\n",
"Q44.1875 41.1094 40.6875 37.1094\n",
"Q37.2031 33.1094 37.2031 26.2188\n",
"M63.8125 11.625\n",
"Q60.8906 7.85938 57.1094 6.07812\n",
"Q53.3281 4.29688 48.2969 4.29688\n",
"Q39.8906 4.29688 34.6406 10.375\n",
"Q29.3906 16.4531 29.3906 26.2188\n",
"Q29.3906 35.9844 34.6562 42.0781\n",
"Q39.9375 48.1875 48.2969 48.1875\n",
"Q53.3281 48.1875 57.125 46.3594\n",
"Q60.9375 44.5312 63.8125 40.8281\n",
"L63.8125 47.2188\n",
"L70.7969 47.2188\n",
"L70.7969 11.2812\n",
"Q77.9375 12.3594 81.9531 17.7969\n",
"Q85.9844 23.25 85.9844 31.8906\n",
"Q85.9844 37.1094 84.4375 41.7031\n",
"Q82.9062 46.2969 79.7812 50.2031\n",
"Q74.7031 56.5938 67.4062 59.9844\n",
"Q60.1094 63.375 51.5156 63.375\n",
"Q45.5156 63.375 39.9844 61.7812\n",
"Q34.4688 60.2031 29.7812 57.0781\n",
"Q22.125 52.0938 17.7969 44.0156\n",
"Q13.4844 35.9375 13.4844 26.5156\n",
"Q13.4844 18.75 16.2812 11.9531\n",
"Q19.0938 5.17188 24.4219 0\n",
"Q29.5469 -5.07812 36.2812 -7.73438\n",
"Q43.0156 -10.4062 50.6875 -10.4062\n",
"Q56.9844 -10.4062 63.0625 -8.28125\n",
"Q69.1406 -6.15625 74.2188 -2.20312\n",
"L78.6094 -7.625\n",
"Q72.5156 -12.3594 65.3125 -14.875\n",
"Q58.1094 -17.3906 50.6875 -17.3906\n",
"Q41.6562 -17.3906 33.6406 -14.1875\n",
"Q25.6406 -10.9844 19.3906 -4.89062\n",
"Q13.1406 1.21875 9.85938 9.25\n",
"Q6.59375 17.2812 6.59375 26.5156\n",
"Q6.59375 35.4062 9.90625 43.4531\n",
"Q13.2344 51.5156 19.3906 57.625\n",
"Q25.6875 63.8125 33.9375 67.1094\n",
"Q42.1875 70.4062 51.4219 70.4062\n",
"Q61.7656 70.4062 70.625 66.1562\n",
"Q79.5 61.9219 85.5 54.1094\n",
"Q89.1562 49.3125 91.0781 43.7031\n",
"Q93.0156 38.0938 93.0156 32.0781\n",
"Q93.0156 19.2344 85.25 11.8125\n",
"Q77.4844 4.39062 63.8125 4.10938\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-40\"/>\n",
" <path d=\"\n",
"M56.2031 29.5938\n",
"L56.2031 25.2031\n",
"L14.8906 25.2031\n",
"Q15.4844 15.9219 20.4844 11.0625\n",
"Q25.4844 6.20312 34.4219 6.20312\n",
"Q39.5938 6.20312 44.4531 7.46875\n",
"Q49.3125 8.73438 54.1094 11.2812\n",
"L54.1094 2.78125\n",
"Q49.2656 0.734375 44.1875 -0.34375\n",
"Q39.1094 -1.42188 33.8906 -1.42188\n",
"Q20.7969 -1.42188 13.1562 6.1875\n",
"Q5.51562 13.8125 5.51562 26.8125\n",
"Q5.51562 40.2344 12.7656 48.1094\n",
"Q20.0156 56 32.3281 56\n",
"Q43.3594 56 49.7812 48.8906\n",
"Q56.2031 41.7969 56.2031 29.5938\n",
"M47.2188 32.2344\n",
"Q47.125 39.5938 43.0938 43.9844\n",
"Q39.0625 48.3906 32.4219 48.3906\n",
"Q24.9062 48.3906 20.3906 44.1406\n",
"Q15.875 39.8906 15.1875 32.1719\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-65\"/>\n",
" <path d=\"\n",
"M45.4062 46.3906\n",
"L45.4062 75.9844\n",
"L54.3906 75.9844\n",
"L54.3906 0\n",
"L45.4062 0\n",
"L45.4062 8.20312\n",
"Q42.5781 3.32812 38.25 0.953125\n",
"Q33.9375 -1.42188 27.875 -1.42188\n",
"Q17.9688 -1.42188 11.7344 6.48438\n",
"Q5.51562 14.4062 5.51562 27.2969\n",
"Q5.51562 40.1875 11.7344 48.0938\n",
"Q17.9688 56 27.875 56\n",
"Q33.9375 56 38.25 53.625\n",
"Q42.5781 51.2656 45.4062 46.3906\n",
"M14.7969 27.2969\n",
"Q14.7969 17.3906 18.875 11.75\n",
"Q22.9531 6.10938 30.0781 6.10938\n",
"Q37.2031 6.10938 41.2969 11.75\n",
"Q45.4062 17.3906 45.4062 27.2969\n",
"Q45.4062 37.2031 41.2969 42.8438\n",
"Q37.2031 48.4844 30.0781 48.4844\n",
"Q22.9531 48.4844 18.875 42.8438\n",
"Q14.7969 37.2031 14.7969 27.2969\" id=\"BitstreamVeraSans-Roman-64\"/>\n",
" <path d=\"\n",
"M45.4062 27.9844\n",
"Q45.4062 37.75 41.375 43.1094\n",
"Q37.3594 48.4844 30.0781 48.4844\n",
"Q22.8594 48.4844 18.8281 43.1094\n",
"Q14.7969 37.75 14.7969 27.9844\n",
"Q14.7969 18.2656 18.8281 12.8906\n",
"Q22.8594 7.51562 30.0781 7.51562\n",
"Q37.3594 7.51562 41.375 12.8906\n",
"Q45.4062 18.2656 45.4062 27.9844\n",
"M54.3906 6.78125\n",
"Q54.3906 -7.17188 48.1875 -13.9844\n",
"Q42 -20.7969 29.2031 -20.7969\n",
"Q24.4688 -20.7969 20.2656 -20.0938\n",
"Q16.0625 -19.3906 12.1094 -17.9219\n",
"L12.1094 -9.1875\n",
"Q16.0625 -11.3281 19.9219 -12.3438\n",
"Q23.7812 -13.375 27.7812 -13.375\n",
"Q36.625 -13.375 41.0156 -8.76562\n",
"Q45.4062 -4.15625 45.4062 5.17188\n",
"L45.4062 9.625\n",
"Q42.625 4.78125 38.2812 2.39062\n",
"Q33.9375 0 27.875 0\n",
"Q17.8281 0 11.6719 7.65625\n",
"Q5.51562 15.3281 5.51562 27.9844\n",
"Q5.51562 40.6719 11.6719 48.3281\n",
"Q17.8281 56 27.875 56\n",
"Q33.9375 56 38.2812 53.6094\n",
"Q42.625 51.2188 45.4062 46.3906\n",
"L45.4062 54.6875\n",
"L54.3906 54.6875\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-67\"/>\n",
" <path d=\"\n",
"M37.1094 75.9844\n",
"L37.1094 68.5\n",
"L28.5156 68.5\n",
"Q23.6875 68.5 21.7969 66.5469\n",
"Q19.9219 64.5938 19.9219 59.5156\n",
"L19.9219 54.6875\n",
"L34.7188 54.6875\n",
"L34.7188 47.7031\n",
"L19.9219 47.7031\n",
"L19.9219 0\n",
"L10.8906 0\n",
"L10.8906 47.7031\n",
"L2.29688 47.7031\n",
"L2.29688 54.6875\n",
"L10.8906 54.6875\n",
"L10.8906 58.5\n",
"Q10.8906 67.625 15.1406 71.7969\n",
"Q19.3906 75.9844 28.6094 75.9844\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-66\"/>\n",
" <path d=\"\n",
"M34.2812 27.4844\n",
"Q23.3906 27.4844 19.1875 25\n",
"Q14.9844 22.5156 14.9844 16.5\n",
"Q14.9844 11.7188 18.1406 8.90625\n",
"Q21.2969 6.10938 26.7031 6.10938\n",
"Q34.1875 6.10938 38.7031 11.4062\n",
"Q43.2188 16.7031 43.2188 25.4844\n",
"L43.2188 27.4844\n",
"z\n",
"\n",
"M52.2031 31.2031\n",
"L52.2031 0\n",
"L43.2188 0\n",
"L43.2188 8.29688\n",
"Q40.1406 3.32812 35.5469 0.953125\n",
"Q30.9531 -1.42188 24.3125 -1.42188\n",
"Q15.9219 -1.42188 10.9531 3.29688\n",
"Q6 8.01562 6 15.9219\n",
"Q6 25.1406 12.1719 29.8281\n",
"Q18.3594 34.5156 30.6094 34.5156\n",
"L43.2188 34.5156\n",
"L43.2188 35.4062\n",
"Q43.2188 41.6094 39.1406 45\n",
"Q35.0625 48.3906 27.6875 48.3906\n",
"Q23 48.3906 18.5469 47.2656\n",
"Q14.1094 46.1406 10.0156 43.8906\n",
"L10.0156 52.2031\n",
"Q14.9375 54.1094 19.5781 55.0469\n",
"Q24.2188 56 28.6094 56\n",
"Q40.4844 56 46.3438 49.8438\n",
"Q52.2031 43.7031 52.2031 31.2031\" id=\"BitstreamVeraSans-Roman-61\"/>\n",
" <path d=\"\n",
"M48.6875 27.2969\n",
"Q48.6875 37.2031 44.6094 42.8438\n",
"Q40.5312 48.4844 33.4062 48.4844\n",
"Q26.2656 48.4844 22.1875 42.8438\n",
"Q18.1094 37.2031 18.1094 27.2969\n",
"Q18.1094 17.3906 22.1875 11.75\n",
"Q26.2656 6.10938 33.4062 6.10938\n",
"Q40.5312 6.10938 44.6094 11.75\n",
"Q48.6875 17.3906 48.6875 27.2969\n",
"M18.1094 46.3906\n",
"Q20.9531 51.2656 25.2656 53.625\n",
"Q29.5938 56 35.5938 56\n",
"Q45.5625 56 51.7812 48.0938\n",
"Q58.0156 40.1875 58.0156 27.2969\n",
"Q58.0156 14.4062 51.7812 6.48438\n",
"Q45.5625 -1.42188 35.5938 -1.42188\n",
"Q29.5938 -1.42188 25.2656 0.953125\n",
"Q20.9531 3.32812 18.1094 8.20312\n",
"L18.1094 0\n",
"L9.07812 0\n",
"L9.07812 75.9844\n",
"L18.1094 75.9844\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-62\"/>\n",
" <path d=\"\n",
"M54.8906 33.0156\n",
"L54.8906 0\n",
"L45.9062 0\n",
"L45.9062 32.7188\n",
"Q45.9062 40.4844 42.875 44.3281\n",
"Q39.8438 48.1875 33.7969 48.1875\n",
"Q26.5156 48.1875 22.3125 43.5469\n",
"Q18.1094 38.9219 18.1094 30.9062\n",
"L18.1094 0\n",
"L9.07812 0\n",
"L9.07812 54.6875\n",
"L18.1094 54.6875\n",
"L18.1094 46.1875\n",
"Q21.3438 51.125 25.7031 53.5625\n",
"Q30.0781 56 35.7969 56\n",
"Q45.2188 56 50.0469 50.1719\n",
"Q54.8906 44.3438 54.8906 33.0156\" id=\"BitstreamVeraSans-Roman-6e\"/>\n",
" <path d=\"\n",
"M30.6094 48.3906\n",
"Q23.3906 48.3906 19.1875 42.75\n",
"Q14.9844 37.1094 14.9844 27.2969\n",
"Q14.9844 17.4844 19.1562 11.8438\n",
"Q23.3438 6.20312 30.6094 6.20312\n",
"Q37.7969 6.20312 41.9844 11.8594\n",
"Q46.1875 17.5312 46.1875 27.2969\n",
"Q46.1875 37.0156 41.9844 42.7031\n",
"Q37.7969 48.3906 30.6094 48.3906\n",
"M30.6094 56\n",
"Q42.3281 56 49.0156 48.375\n",
"Q55.7188 40.7656 55.7188 27.2969\n",
"Q55.7188 13.875 49.0156 6.21875\n",
"Q42.3281 -1.42188 30.6094 -1.42188\n",
"Q18.8438 -1.42188 12.1719 6.21875\n",
"Q5.51562 13.875 5.51562 27.2969\n",
"Q5.51562 40.7656 12.1719 48.375\n",
"Q18.8438 56 30.6094 56\" id=\"BitstreamVeraSans-Roman-6f\"/>\n",
" <path d=\"\n",
"M9.42188 75.9844\n",
"L18.4062 75.9844\n",
"L18.4062 0\n",
"L9.42188 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-6c\"/>\n",
" <path d=\"\n",
"M-0.296875 72.9062\n",
"L61.375 72.9062\n",
"L61.375 64.5938\n",
"L35.5 64.5938\n",
"L35.5 0\n",
"L25.5938 0\n",
"L25.5938 64.5938\n",
"L-0.296875 64.5938\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-54\"/>\n",
" <path d=\"\n",
"M2.98438 54.6875\n",
"L12.5 54.6875\n",
"L29.5938 8.79688\n",
"L46.6875 54.6875\n",
"L56.2031 54.6875\n",
"L35.6875 0\n",
"L23.4844 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-76\"/>\n",
" <path d=\"\n",
"M18.3125 70.2188\n",
"L18.3125 54.6875\n",
"L36.8125 54.6875\n",
"L36.8125 47.7031\n",
"L18.3125 47.7031\n",
"L18.3125 18.0156\n",
"Q18.3125 11.3281 20.1406 9.42188\n",
"Q21.9688 7.51562 27.5938 7.51562\n",
"L36.8125 7.51562\n",
"L36.8125 0\n",
"L27.5938 0\n",
"Q17.1875 0 13.2344 3.875\n",
"Q9.28125 7.76562 9.28125 18.0156\n",
"L9.28125 47.7031\n",
"L2.6875 47.7031\n",
"L2.6875 54.6875\n",
"L9.28125 54.6875\n",
"L9.28125 70.2188\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-74\"/>\n",
" <path d=\"\n",
"M8.5 21.5781\n",
"L8.5 54.6875\n",
"L17.4844 54.6875\n",
"L17.4844 21.9219\n",
"Q17.4844 14.1562 20.5 10.2656\n",
"Q23.5312 6.39062 29.5938 6.39062\n",
"Q36.8594 6.39062 41.0781 11.0312\n",
"Q45.3125 15.6719 45.3125 23.6875\n",
"L45.3125 54.6875\n",
"L54.2969 54.6875\n",
"L54.2969 0\n",
"L45.3125 0\n",
"L45.3125 8.40625\n",
"Q42.0469 3.42188 37.7188 1\n",
"Q33.4062 -1.42188 27.6875 -1.42188\n",
"Q18.2656 -1.42188 13.375 4.4375\n",
"Q8.5 10.2969 8.5 21.5781\" id=\"BitstreamVeraSans-Roman-75\"/>\n",
" <path d=\"\n",
"M41.1094 46.2969\n",
"Q39.5938 47.1719 37.8125 47.5781\n",
"Q36.0312 48 33.8906 48\n",
"Q26.2656 48 22.1875 43.0469\n",
"Q18.1094 38.0938 18.1094 28.8125\n",
"L18.1094 0\n",
"L9.07812 0\n",
"L9.07812 54.6875\n",
"L18.1094 54.6875\n",
"L18.1094 46.1875\n",
"Q20.9531 51.1719 25.4844 53.5781\n",
"Q30.0312 56 36.5312 56\n",
"Q37.4531 56 38.5781 55.875\n",
"Q39.7031 55.7656 41.0625 55.5156\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-72\"/>\n",
" <path d=\"\n",
"M44.2812 53.0781\n",
"L44.2812 44.5781\n",
"Q40.4844 46.5312 36.375 47.5\n",
"Q32.2812 48.4844 27.875 48.4844\n",
"Q21.1875 48.4844 17.8438 46.4375\n",
"Q14.5 44.3906 14.5 40.2812\n",
"Q14.5 37.1562 16.8906 35.375\n",
"Q19.2812 33.5938 26.5156 31.9844\n",
"L29.5938 31.2969\n",
"Q39.1562 29.25 43.1875 25.5156\n",
"Q47.2188 21.7812 47.2188 15.0938\n",
"Q47.2188 7.46875 41.1875 3.01562\n",
"Q35.1562 -1.42188 24.6094 -1.42188\n",
"Q20.2188 -1.42188 15.4531 -0.5625\n",
"Q10.6875 0.296875 5.42188 2\n",
"L5.42188 11.2812\n",
"Q10.4062 8.6875 15.2344 7.39062\n",
"Q20.0625 6.10938 24.8125 6.10938\n",
"Q31.1562 6.10938 34.5625 8.28125\n",
"Q37.9844 10.4531 37.9844 14.4062\n",
"Q37.9844 18.0625 35.5156 20.0156\n",
"Q33.0625 21.9688 24.7031 23.7812\n",
"L21.5781 24.5156\n",
"Q13.2344 26.2656 9.51562 29.9062\n",
"Q5.8125 33.5469 5.8125 39.8906\n",
"Q5.8125 47.6094 11.2812 51.7969\n",
"Q16.75 56 26.8125 56\n",
"Q31.7812 56 36.1719 55.2656\n",
"Q40.5781 54.5469 44.2812 53.0781\" id=\"BitstreamVeraSans-Roman-73\"/>\n",
" <path d=\"\n",
"M18.1094 8.20312\n",
"L18.1094 -20.7969\n",
"L9.07812 -20.7969\n",
"L9.07812 54.6875\n",
"L18.1094 54.6875\n",
"L18.1094 46.3906\n",
"Q20.9531 51.2656 25.2656 53.625\n",
"Q29.5938 56 35.5938 56\n",
"Q45.5625 56 51.7812 48.0938\n",
"Q58.0156 40.1875 58.0156 27.2969\n",
"Q58.0156 14.4062 51.7812 6.48438\n",
"Q45.5625 -1.42188 35.5938 -1.42188\n",
"Q29.5938 -1.42188 25.2656 0.953125\n",
"Q20.9531 3.32812 18.1094 8.20312\n",
"M48.6875 27.2969\n",
"Q48.6875 37.2031 44.6094 42.8438\n",
"Q40.5312 48.4844 33.4062 48.4844\n",
"Q26.2656 48.4844 22.1875 42.8438\n",
"Q18.1094 37.2031 18.1094 27.2969\n",
"Q18.1094 17.3906 22.1875 11.75\n",
"Q26.2656 6.10938 33.4062 6.10938\n",
"Q40.5312 6.10938 44.6094 11.75\n",
"Q48.6875 17.3906 48.6875 27.2969\" id=\"BitstreamVeraSans-Roman-70\"/>\n",
" </defs>\n",
" <g transform=\"translate(82.686375 18.14175)scale(0.144 -0.144)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-53\"/>\n",
" <use x=\"63.4765625\" xlink:href=\"#BitstreamVeraSans-Roman-6f\"/>\n",
" <use x=\"124.658203125\" xlink:href=\"#BitstreamVeraSans-Roman-66\"/>\n",
" <use x=\"158.11328125\" xlink:href=\"#BitstreamVeraSans-Roman-74\"/>\n",
" <use x=\"197.322265625\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"229.109375\" xlink:href=\"#BitstreamVeraSans-Roman-61\"/>\n",
" <use x=\"290.388671875\" xlink:href=\"#BitstreamVeraSans-Roman-76\"/>\n",
" <use x=\"349.568359375\" xlink:href=\"#BitstreamVeraSans-Roman-67\"/>\n",
" <use x=\"413.044921875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"444.83203125\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"476.619140625\" xlink:href=\"#BitstreamVeraSans-Roman-28\"/>\n",
" <use x=\"515.6328125\" xlink:href=\"#BitstreamVeraSans-Roman-72\"/>\n",
" <use x=\"554.49609375\" xlink:href=\"#BitstreamVeraSans-Roman-65\"/>\n",
" <use x=\"616.01953125\" xlink:href=\"#BitstreamVeraSans-Roman-64\"/>\n",
" <use x=\"679.49609375\" xlink:href=\"#BitstreamVeraSans-Roman-29\"/>\n",
" <use x=\"718.509765625\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"750.296875\" xlink:href=\"#BitstreamVeraSans-Roman-76\"/>\n",
" <use x=\"809.4765625\" xlink:href=\"#BitstreamVeraSans-Roman-73\"/>\n",
" <use x=\"861.576171875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"893.36328125\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"925.150390625\" xlink:href=\"#BitstreamVeraSans-Roman-54\"/>\n",
" <use x=\"986.234375\" xlink:href=\"#BitstreamVeraSans-Roman-68\"/>\n",
" <use x=\"1049.61328125\" xlink:href=\"#BitstreamVeraSans-Roman-72\"/>\n",
" <use x=\"1088.4765625\" xlink:href=\"#BitstreamVeraSans-Roman-65\"/>\n",
" <use x=\"1150.0\" xlink:href=\"#BitstreamVeraSans-Roman-73\"/>\n",
" <use x=\"1202.09960938\" xlink:href=\"#BitstreamVeraSans-Roman-68\"/>\n",
" <use x=\"1265.47851562\" xlink:href=\"#BitstreamVeraSans-Roman-6f\"/>\n",
" <use x=\"1326.66015625\" xlink:href=\"#BitstreamVeraSans-Roman-6c\"/>\n",
" <use x=\"1354.44335938\" xlink:href=\"#BitstreamVeraSans-Roman-64\"/>\n",
" <use x=\"1417.91992188\" xlink:href=\"#BitstreamVeraSans-Roman-69\"/>\n",
" <use x=\"1445.703125\" xlink:href=\"#BitstreamVeraSans-Roman-6e\"/>\n",
" <use x=\"1509.08203125\" xlink:href=\"#BitstreamVeraSans-Roman-67\"/>\n",
" <use x=\"1572.55859375\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"1604.34570312\" xlink:href=\"#BitstreamVeraSans-Roman-28\"/>\n",
" <use x=\"1643.359375\" xlink:href=\"#BitstreamVeraSans-Roman-62\"/>\n",
" <use x=\"1706.8359375\" xlink:href=\"#BitstreamVeraSans-Roman-6c\"/>\n",
" <use x=\"1734.61914062\" xlink:href=\"#BitstreamVeraSans-Roman-75\"/>\n",
" <use x=\"1797.99804688\" xlink:href=\"#BitstreamVeraSans-Roman-65\"/>\n",
" <use x=\"1859.52148438\" xlink:href=\"#BitstreamVeraSans-Roman-29\"/>\n",
" <use x=\"1898.53515625\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"1930.32226562\" xlink:href=\"#BitstreamVeraSans-Roman-40\"/>\n",
" <use x=\"2030.32226562\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"2062.109375\" xlink:href=\"#BitstreamVeraSans-Roman-31\"/>\n",
" <use x=\"2125.73242188\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"2189.35546875\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"2252.97851562\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"2316.6015625\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"2348.38867188\" xlink:href=\"#BitstreamVeraSans-Roman-72\"/>\n",
" <use x=\"2387.25195312\" xlink:href=\"#BitstreamVeraSans-Roman-65\"/>\n",
" <use x=\"2448.77539062\" xlink:href=\"#BitstreamVeraSans-Roman-70\"/>\n",
" <use x=\"2512.25195312\" xlink:href=\"#BitstreamVeraSans-Roman-73\"/>\n",
" <use x=\"2564.3515625\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"2596.13867188\" xlink:href=\"#BitstreamVeraSans-Roman-28\"/>\n",
" <use x=\"2635.15234375\" xlink:href=\"#BitstreamVeraSans-Roman-7a\"/>\n",
" <use x=\"2687.64257812\" xlink:href=\"#BitstreamVeraSans-Roman-3d\"/>\n",
" <use x=\"2771.43164062\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"2835.0546875\" xlink:href=\"#BitstreamVeraSans-Roman-29\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <defs>\n",
" <clipPath id=\"pb1fd7b6f9c\">\n",
" <rect height=\"345.6\" width=\"446.4\" x=\"65.80125\" y=\"23.14175\"/>\n",
" </clipPath>\n",
" </defs>\n",
"</svg>\n"
],
"text": [
"Figure(PyObject <matplotlib.figure.Figure object at 0x14a72d310>)"
]
}
],
"prompt_number": 101
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"fill_between(SNRs,vec(zo_soft_mse[3,1,:]-zo_soft_mse[3,2,:]),vec(zo_soft_mse[3,1,:]+zo_soft_mse[3,3,:]),facecolor=\"red\",alpha=.5);\n",
"plot(SNRs,vec(zo_soft_mse[3,1,:]),\"r-\")\n",
"fill_between(SNRs,vec(zo_hard_mse[3,1,:]-zo_hard_mse[3,2,:]),vec(zo_hard_mse[3,1,:]+zo_hard_mse[3,3,:]),facecolor=\"blue\",alpha=.5);\n",
"plot(SNRs,vec(zo_hard_mse[3,1,:]),\"b-\")\n",
"xlabel(\"SNR\");\n",
"ylabel(\"MSE\");\n",
"title(\"Soft avg. (red) vs. Thresholding (blue) @ 10000 reps (z=1)\");"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": "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",
"svg": [
"<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n",
"<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n",
" \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n",
"<!-- Created with matplotlib (http://matplotlib.org/) -->\n",
"<svg height=\"403pt\" version=\"1.1\" viewBox=\"0 0 527 403\" width=\"527pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n",
" <defs>\n",
" <style type=\"text/css\">\n",
"*{stroke-linecap:square;stroke-linejoin:round;}\n",
" </style>\n",
" </defs>\n",
" <g id=\"figure_1\">\n",
" <g id=\"patch_1\">\n",
" <path d=\"\n",
"M0 403.095\n",
"L527.979 403.095\n",
"L527.979 0\n",
"L0 0\n",
"z\n",
"\" style=\"fill:#ffffff;\"/>\n",
" </g>\n",
" <g id=\"axes_1\">\n",
" <g id=\"patch_2\">\n",
" <path d=\"\n",
"M65.8012 368.742\n",
"L512.201 368.742\n",
"L512.201 23.1417\n",
"L65.8012 23.1417\n",
"z\n",
"\" style=\"fill:#ffffff;\"/>\n",
" </g>\n",
" <g id=\"PolyCollection_1\">\n",
" <defs>\n",
" <path d=\"\n",
"M65.8012 -251.487\n",
"L65.8012 -231.792\n",
"L115.401 -160.5\n",
"L165.001 -124.251\n",
"L214.601 -109.691\n",
"L264.201 -97.1803\n",
"L313.801 -81.1139\n",
"L363.401 -80.9267\n",
"L413.001 -74.2462\n",
"L462.601 -70.0332\n",
"L512.201 -64.608\n",
"L512.201 -68.7827\n",
"L512.201 -68.7827\n",
"L462.601 -74.46\n",
"L413.001 -78.962\n",
"L363.401 -85.6906\n",
"L313.801 -86.9309\n",
"L264.201 -103.587\n",
"L214.601 -117.446\n",
"L165.001 -134.997\n",
"L115.401 -173.861\n",
"L65.8012 -251.487\n",
"z\n",
"\" id=\"C0_0_9231ece572\"/>\n",
" </defs>\n",
" <g clip-path=\"url(#pb1fd7b6f9c)\">\n",
" <use style=\"fill:#ff0000;opacity:0.5;stroke:#000000;stroke-linecap:butt;\" x=\"0\" xlink:href=\"#C0_0_9231ece572\" y=\"403.0955\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"PolyCollection_2\">\n",
" <defs>\n",
" <path d=\"\n",
"M65.8012 -369.072\n",
"L65.8012 -342.657\n",
"L115.401 -218.641\n",
"L165.001 -160.199\n",
"L214.601 -127.68\n",
"L264.201 -94.8236\n",
"L313.801 -88.4165\n",
"L363.401 -76.3939\n",
"L413.001 -68.3053\n",
"L462.601 -62.0944\n",
"L512.201 -57.911\n",
"L512.201 -60.718\n",
"L512.201 -60.718\n",
"L462.601 -65.4606\n",
"L413.001 -71.9445\n",
"L363.401 -81.2001\n",
"L313.801 -93.7437\n",
"L264.201 -102.141\n",
"L214.601 -136.689\n",
"L165.001 -171.72\n",
"L115.401 -235.664\n",
"L65.8012 -369.072\n",
"z\n",
"\" id=\"C1_0_789e6673af\"/>\n",
" </defs>\n",
" <g clip-path=\"url(#pb1fd7b6f9c)\">\n",
" <use style=\"fill:#0000ff;opacity:0.5;stroke:#000000;stroke-linecap:butt;\" x=\"0\" xlink:href=\"#C1_0_789e6673af\" y=\"403.0955\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_1\">\n",
" <path clip-path=\"url(#pb1fd7b6f9c)\" d=\"\n",
"M65.8012 153.4\n",
"L115.401 230.42\n",
"L165.001 269.082\n",
"L214.601 286.379\n",
"L264.201 300.164\n",
"L313.801 316.721\n",
"L363.401 317.856\n",
"L413.001 324.573\n",
"L462.601 329.037\n",
"L512.201 334.666\" style=\"fill:none;stroke:#ff0000;\"/>\n",
" </g>\n",
" <g id=\"line2d_2\">\n",
" <path clip-path=\"url(#pb1fd7b6f9c)\" d=\"\n",
"M65.8012 36.524\n",
"L115.401 168.91\n",
"L165.001 232.431\n",
"L214.601 267.306\n",
"L264.201 301.638\n",
"L313.801 309.854\n",
"L363.401 322.318\n",
"L413.001 331.487\n",
"L462.601 337.93\n",
"L512.201 342.618\" style=\"fill:none;stroke:#0000ff;\"/>\n",
" </g>\n",
" <g id=\"matplotlib.axis_1\">\n",
" <g id=\"xtick_1\">\n",
" <g id=\"line2d_3\">\n",
" <defs>\n",
" <path d=\"\n",
"M0 0\n",
"L0 -4\" id=\"mcb557df647\" style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\"/>\n",
" </defs>\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"65.80125\" xlink:href=\"#mcb557df647\" y=\"368.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_4\">\n",
" <defs>\n",
" <path d=\"\n",
"M0 0\n",
"L0 4\" id=\"mdad270ee8e\" style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\"/>\n",
" </defs>\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"65.80125\" xlink:href=\"#mdad270ee8e\" y=\"23.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_1\">\n",
" <!-- 0.5 -->\n",
" <defs>\n",
" <path d=\"\n",
"M31.7812 66.4062\n",
"Q24.1719 66.4062 20.3281 58.9062\n",
"Q16.5 51.4219 16.5 36.375\n",
"Q16.5 21.3906 20.3281 13.8906\n",
"Q24.1719 6.39062 31.7812 6.39062\n",
"Q39.4531 6.39062 43.2812 13.8906\n",
"Q47.125 21.3906 47.125 36.375\n",
"Q47.125 51.4219 43.2812 58.9062\n",
"Q39.4531 66.4062 31.7812 66.4062\n",
"M31.7812 74.2188\n",
"Q44.0469 74.2188 50.5156 64.5156\n",
"Q56.9844 54.8281 56.9844 36.375\n",
"Q56.9844 17.9688 50.5156 8.26562\n",
"Q44.0469 -1.42188 31.7812 -1.42188\n",
"Q19.5312 -1.42188 13.0625 8.26562\n",
"Q6.59375 17.9688 6.59375 36.375\n",
"Q6.59375 54.8281 13.0625 64.5156\n",
"Q19.5312 74.2188 31.7812 74.2188\" id=\"BitstreamVeraSans-Roman-30\"/>\n",
" <path d=\"\n",
"M10.6875 12.4062\n",
"L21 12.4062\n",
"L21 0\n",
"L10.6875 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-2e\"/>\n",
" <path d=\"\n",
"M10.7969 72.9062\n",
"L49.5156 72.9062\n",
"L49.5156 64.5938\n",
"L19.8281 64.5938\n",
"L19.8281 46.7344\n",
"Q21.9688 47.4688 24.1094 47.8281\n",
"Q26.2656 48.1875 28.4219 48.1875\n",
"Q40.625 48.1875 47.75 41.5\n",
"Q54.8906 34.8125 54.8906 23.3906\n",
"Q54.8906 11.625 47.5625 5.09375\n",
"Q40.2344 -1.42188 26.9062 -1.42188\n",
"Q22.3125 -1.42188 17.5469 -0.640625\n",
"Q12.7969 0.140625 7.71875 1.70312\n",
"L7.71875 11.625\n",
"Q12.1094 9.23438 16.7969 8.0625\n",
"Q21.4844 6.89062 26.7031 6.89062\n",
"Q35.1562 6.89062 40.0781 11.3281\n",
"Q45.0156 15.7656 45.0156 23.3906\n",
"Q45.0156 31 40.0781 35.4375\n",
"Q35.1562 39.8906 26.7031 39.8906\n",
"Q22.75 39.8906 18.8125 39.0156\n",
"Q14.8906 38.1406 10.7969 36.2812\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-35\"/>\n",
" </defs>\n",
" <g transform=\"translate(57.1790625 381.648)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-35\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_2\">\n",
" <g id=\"line2d_5\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"177.40125\" xlink:href=\"#mcb557df647\" y=\"368.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_6\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"177.40125\" xlink:href=\"#mdad270ee8e\" y=\"23.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_2\">\n",
" <!-- 1.0 -->\n",
" <defs>\n",
" <path d=\"\n",
"M12.4062 8.29688\n",
"L28.5156 8.29688\n",
"L28.5156 63.9219\n",
"L10.9844 60.4062\n",
"L10.9844 69.3906\n",
"L28.4219 72.9062\n",
"L38.2812 72.9062\n",
"L38.2812 8.29688\n",
"L54.3906 8.29688\n",
"L54.3906 0\n",
"L12.4062 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-31\"/>\n",
" </defs>\n",
" <g transform=\"translate(168.916875 381.648)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-31\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_3\">\n",
" <g id=\"line2d_7\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"289.00125\" xlink:href=\"#mcb557df647\" y=\"368.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_8\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"289.00125\" xlink:href=\"#mdad270ee8e\" y=\"23.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_3\">\n",
" <!-- 1.5 -->\n",
" <g transform=\"translate(280.6425 381.4905)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-31\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-35\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_4\">\n",
" <g id=\"line2d_9\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"400.60125\" xlink:href=\"#mcb557df647\" y=\"368.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_10\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"400.60125\" xlink:href=\"#mdad270ee8e\" y=\"23.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_4\">\n",
" <!-- 2.0 -->\n",
" <defs>\n",
" <path d=\"\n",
"M19.1875 8.29688\n",
"L53.6094 8.29688\n",
"L53.6094 0\n",
"L7.32812 0\n",
"L7.32812 8.29688\n",
"Q12.9375 14.1094 22.625 23.8906\n",
"Q32.3281 33.6875 34.8125 36.5312\n",
"Q39.5469 41.8438 41.4219 45.5312\n",
"Q43.3125 49.2188 43.3125 52.7812\n",
"Q43.3125 58.5938 39.2344 62.25\n",
"Q35.1562 65.9219 28.6094 65.9219\n",
"Q23.9688 65.9219 18.8125 64.3125\n",
"Q13.6719 62.7031 7.8125 59.4219\n",
"L7.8125 69.3906\n",
"Q13.7656 71.7812 18.9375 73\n",
"Q24.125 74.2188 28.4219 74.2188\n",
"Q39.75 74.2188 46.4844 68.5469\n",
"Q53.2188 62.8906 53.2188 53.4219\n",
"Q53.2188 48.9219 51.5312 44.8906\n",
"Q49.8594 40.875 45.4062 35.4062\n",
"Q44.1875 33.9844 37.6406 27.2188\n",
"Q31.1094 20.4531 19.1875 8.29688\" id=\"BitstreamVeraSans-Roman-32\"/>\n",
" </defs>\n",
" <g transform=\"translate(391.8975 381.648)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-32\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_5\">\n",
" <g id=\"line2d_11\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"512.20125\" xlink:href=\"#mcb557df647\" y=\"368.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_12\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"512.20125\" xlink:href=\"#mdad270ee8e\" y=\"23.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_5\">\n",
" <!-- 2.5 -->\n",
" <g transform=\"translate(503.623125 381.648)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-32\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-35\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_6\">\n",
" <!-- SNR -->\n",
" <defs>\n",
" <path d=\"\n",
"M9.8125 72.9062\n",
"L23.0938 72.9062\n",
"L55.4219 11.9219\n",
"L55.4219 72.9062\n",
"L64.9844 72.9062\n",
"L64.9844 0\n",
"L51.7031 0\n",
"L19.3906 60.9844\n",
"L19.3906 0\n",
"L9.8125 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-4e\"/>\n",
" <path d=\"\n",
"M53.5156 70.5156\n",
"L53.5156 60.8906\n",
"Q47.9062 63.5781 42.9219 64.8906\n",
"Q37.9375 66.2188 33.2969 66.2188\n",
"Q25.25 66.2188 20.875 63.0938\n",
"Q16.5 59.9688 16.5 54.2031\n",
"Q16.5 49.3594 19.4062 46.8906\n",
"Q22.3125 44.4375 30.4219 42.9219\n",
"L36.375 41.7031\n",
"Q47.4062 39.5938 52.6562 34.2969\n",
"Q57.9062 29 57.9062 20.125\n",
"Q57.9062 9.51562 50.7969 4.04688\n",
"Q43.7031 -1.42188 29.9844 -1.42188\n",
"Q24.8125 -1.42188 18.9688 -0.25\n",
"Q13.1406 0.921875 6.89062 3.21875\n",
"L6.89062 13.375\n",
"Q12.8906 10.0156 18.6562 8.29688\n",
"Q24.4219 6.59375 29.9844 6.59375\n",
"Q38.4219 6.59375 43.0156 9.90625\n",
"Q47.6094 13.2344 47.6094 19.3906\n",
"Q47.6094 24.75 44.3125 27.7812\n",
"Q41.0156 30.8125 33.5 32.3281\n",
"L27.4844 33.5\n",
"Q16.4531 35.6875 11.5156 40.375\n",
"Q6.59375 45.0625 6.59375 53.4219\n",
"Q6.59375 63.0938 13.4062 68.6562\n",
"Q20.2188 74.2188 32.1719 74.2188\n",
"Q37.3125 74.2188 42.625 73.2812\n",
"Q47.9531 72.3594 53.5156 70.5156\" id=\"BitstreamVeraSans-Roman-53\"/>\n",
" <path d=\"\n",
"M44.3906 34.1875\n",
"Q47.5625 33.1094 50.5625 29.5938\n",
"Q53.5625 26.0781 56.5938 19.9219\n",
"L66.6094 0\n",
"L56 0\n",
"L46.6875 18.7031\n",
"Q43.0625 26.0312 39.6719 28.4219\n",
"Q36.2812 30.8125 30.4219 30.8125\n",
"L19.6719 30.8125\n",
"L19.6719 0\n",
"L9.8125 0\n",
"L9.8125 72.9062\n",
"L32.0781 72.9062\n",
"Q44.5781 72.9062 50.7344 67.6719\n",
"Q56.8906 62.4531 56.8906 51.9062\n",
"Q56.8906 45.0156 53.6875 40.4688\n",
"Q50.4844 35.9375 44.3906 34.1875\n",
"M19.6719 64.7969\n",
"L19.6719 38.9219\n",
"L32.0781 38.9219\n",
"Q39.2031 38.9219 42.8438 42.2188\n",
"Q46.4844 45.5156 46.4844 51.9062\n",
"Q46.4844 58.2969 42.8438 61.5469\n",
"Q39.2031 64.7969 32.0781 64.7969\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-52\"/>\n",
" </defs>\n",
" <g transform=\"translate(277.1025 395.724875)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-53\"/>\n",
" <use x=\"63.4765625\" xlink:href=\"#BitstreamVeraSans-Roman-4e\"/>\n",
" <use x=\"138.28125\" xlink:href=\"#BitstreamVeraSans-Roman-52\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"matplotlib.axis_2\">\n",
" <g id=\"ytick_1\">\n",
" <g id=\"line2d_13\">\n",
" <defs>\n",
" <path d=\"\n",
"M0 0\n",
"L4 0\" id=\"mc8fcea1516\" style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\"/>\n",
" </defs>\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"65.80125\" xlink:href=\"#mc8fcea1516\" y=\"368.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_14\">\n",
" <defs>\n",
" <path d=\"\n",
"M0 0\n",
"L-4 0\" id=\"m0d5b0a6425\" style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\"/>\n",
" </defs>\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"512.20125\" xlink:href=\"#m0d5b0a6425\" y=\"368.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_7\">\n",
" <!-- 0.0000 -->\n",
" <g transform=\"translate(21.400625 373.1095625)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"222.65625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"286.279296875\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_2\">\n",
" <g id=\"line2d_15\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"65.80125\" xlink:href=\"#mc8fcea1516\" y=\"330.34175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_16\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"512.20125\" xlink:href=\"#m0d5b0a6425\" y=\"330.34175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_8\">\n",
" <!-- 0.0002 -->\n",
" <g transform=\"translate(21.805625 334.7095625)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"222.65625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"286.279296875\" xlink:href=\"#BitstreamVeraSans-Roman-32\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_3\">\n",
" <g id=\"line2d_17\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"65.80125\" xlink:href=\"#mc8fcea1516\" y=\"291.94175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_18\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"512.20125\" xlink:href=\"#m0d5b0a6425\" y=\"291.94175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_9\">\n",
" <!-- 0.0004 -->\n",
" <defs>\n",
" <path d=\"\n",
"M37.7969 64.3125\n",
"L12.8906 25.3906\n",
"L37.7969 25.3906\n",
"z\n",
"\n",
"M35.2031 72.9062\n",
"L47.6094 72.9062\n",
"L47.6094 25.3906\n",
"L58.0156 25.3906\n",
"L58.0156 17.1875\n",
"L47.6094 17.1875\n",
"L47.6094 0\n",
"L37.7969 0\n",
"L37.7969 17.1875\n",
"L4.89062 17.1875\n",
"L4.89062 26.7031\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-34\"/>\n",
" </defs>\n",
" <g transform=\"translate(21.276875 296.3095625)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"222.65625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"286.279296875\" xlink:href=\"#BitstreamVeraSans-Roman-34\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_4\">\n",
" <g id=\"line2d_19\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"65.80125\" xlink:href=\"#mc8fcea1516\" y=\"253.54175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_20\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"512.20125\" xlink:href=\"#m0d5b0a6425\" y=\"253.54175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_10\">\n",
" <!-- 0.0006 -->\n",
" <defs>\n",
" <path d=\"\n",
"M33.0156 40.375\n",
"Q26.375 40.375 22.4844 35.8281\n",
"Q18.6094 31.2969 18.6094 23.3906\n",
"Q18.6094 15.5312 22.4844 10.9531\n",
"Q26.375 6.39062 33.0156 6.39062\n",
"Q39.6562 6.39062 43.5312 10.9531\n",
"Q47.4062 15.5312 47.4062 23.3906\n",
"Q47.4062 31.2969 43.5312 35.8281\n",
"Q39.6562 40.375 33.0156 40.375\n",
"M52.5938 71.2969\n",
"L52.5938 62.3125\n",
"Q48.875 64.0625 45.0938 64.9844\n",
"Q41.3125 65.9219 37.5938 65.9219\n",
"Q27.8281 65.9219 22.6719 59.3281\n",
"Q17.5312 52.7344 16.7969 39.4062\n",
"Q19.6719 43.6562 24.0156 45.9219\n",
"Q28.375 48.1875 33.5938 48.1875\n",
"Q44.5781 48.1875 50.9531 41.5156\n",
"Q57.3281 34.8594 57.3281 23.3906\n",
"Q57.3281 12.1562 50.6875 5.35938\n",
"Q44.0469 -1.42188 33.0156 -1.42188\n",
"Q20.3594 -1.42188 13.6719 8.26562\n",
"Q6.98438 17.9688 6.98438 36.375\n",
"Q6.98438 53.6562 15.1875 63.9375\n",
"Q23.3906 74.2188 37.2031 74.2188\n",
"Q40.9219 74.2188 44.7031 73.4844\n",
"Q48.4844 72.75 52.5938 71.2969\" id=\"BitstreamVeraSans-Roman-36\"/>\n",
" </defs>\n",
" <g transform=\"translate(21.359375 257.9095625)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"222.65625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"286.279296875\" xlink:href=\"#BitstreamVeraSans-Roman-36\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_5\">\n",
" <g id=\"line2d_21\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"65.80125\" xlink:href=\"#mc8fcea1516\" y=\"215.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_22\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"512.20125\" xlink:href=\"#m0d5b0a6425\" y=\"215.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_11\">\n",
" <!-- 0.0008 -->\n",
" <defs>\n",
" <path d=\"\n",
"M31.7812 34.625\n",
"Q24.75 34.625 20.7188 30.8594\n",
"Q16.7031 27.0938 16.7031 20.5156\n",
"Q16.7031 13.9219 20.7188 10.1562\n",
"Q24.75 6.39062 31.7812 6.39062\n",
"Q38.8125 6.39062 42.8594 10.1719\n",
"Q46.9219 13.9688 46.9219 20.5156\n",
"Q46.9219 27.0938 42.8906 30.8594\n",
"Q38.875 34.625 31.7812 34.625\n",
"M21.9219 38.8125\n",
"Q15.5781 40.375 12.0312 44.7188\n",
"Q8.5 49.0781 8.5 55.3281\n",
"Q8.5 64.0625 14.7188 69.1406\n",
"Q20.9531 74.2188 31.7812 74.2188\n",
"Q42.6719 74.2188 48.875 69.1406\n",
"Q55.0781 64.0625 55.0781 55.3281\n",
"Q55.0781 49.0781 51.5312 44.7188\n",
"Q48 40.375 41.7031 38.8125\n",
"Q48.8281 37.1562 52.7969 32.3125\n",
"Q56.7812 27.4844 56.7812 20.5156\n",
"Q56.7812 9.90625 50.3125 4.23438\n",
"Q43.8438 -1.42188 31.7812 -1.42188\n",
"Q19.7344 -1.42188 13.25 4.23438\n",
"Q6.78125 9.90625 6.78125 20.5156\n",
"Q6.78125 27.4844 10.7812 32.3125\n",
"Q14.7969 37.1562 21.9219 38.8125\n",
"M18.3125 54.3906\n",
"Q18.3125 48.7344 21.8438 45.5625\n",
"Q25.3906 42.3906 31.7812 42.3906\n",
"Q38.1406 42.3906 41.7188 45.5625\n",
"Q45.3125 48.7344 45.3125 54.3906\n",
"Q45.3125 60.0625 41.7188 63.2344\n",
"Q38.1406 66.4062 31.7812 66.4062\n",
"Q25.3906 66.4062 21.8438 63.2344\n",
"Q18.3125 60.0625 18.3125 54.3906\" id=\"BitstreamVeraSans-Roman-38\"/>\n",
" </defs>\n",
" <g transform=\"translate(21.425 219.5095625)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"222.65625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"286.279296875\" xlink:href=\"#BitstreamVeraSans-Roman-38\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_6\">\n",
" <g id=\"line2d_23\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"65.80125\" xlink:href=\"#mc8fcea1516\" y=\"176.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_24\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"512.20125\" xlink:href=\"#m0d5b0a6425\" y=\"176.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_12\">\n",
" <!-- 0.0010 -->\n",
" <g transform=\"translate(21.400625 181.1095625)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"222.65625\" xlink:href=\"#BitstreamVeraSans-Roman-31\"/>\n",
" <use x=\"286.279296875\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_7\">\n",
" <g id=\"line2d_25\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"65.80125\" xlink:href=\"#mc8fcea1516\" y=\"138.34175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_26\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"512.20125\" xlink:href=\"#m0d5b0a6425\" y=\"138.34175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_13\">\n",
" <!-- 0.0012 -->\n",
" <g transform=\"translate(21.805625 142.7095625)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"222.65625\" xlink:href=\"#BitstreamVeraSans-Roman-31\"/>\n",
" <use x=\"286.279296875\" xlink:href=\"#BitstreamVeraSans-Roman-32\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_8\">\n",
" <g id=\"line2d_27\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"65.80125\" xlink:href=\"#mc8fcea1516\" y=\"99.94175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_28\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"512.20125\" xlink:href=\"#m0d5b0a6425\" y=\"99.94175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_14\">\n",
" <!-- 0.0014 -->\n",
" <g transform=\"translate(21.276875 104.3095625)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"222.65625\" xlink:href=\"#BitstreamVeraSans-Roman-31\"/>\n",
" <use x=\"286.279296875\" xlink:href=\"#BitstreamVeraSans-Roman-34\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_9\">\n",
" <g id=\"line2d_29\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"65.80125\" xlink:href=\"#mc8fcea1516\" y=\"61.54175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_30\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"512.20125\" xlink:href=\"#m0d5b0a6425\" y=\"61.54175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_15\">\n",
" <!-- 0.0016 -->\n",
" <g transform=\"translate(21.359375 65.9095625)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"222.65625\" xlink:href=\"#BitstreamVeraSans-Roman-31\"/>\n",
" <use x=\"286.279296875\" xlink:href=\"#BitstreamVeraSans-Roman-36\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_10\">\n",
" <g id=\"line2d_31\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"65.80125\" xlink:href=\"#mc8fcea1516\" y=\"23.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_32\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"512.20125\" xlink:href=\"#m0d5b0a6425\" y=\"23.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_16\">\n",
" <!-- 0.0018 -->\n",
" <g transform=\"translate(21.425 27.5095625)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"222.65625\" xlink:href=\"#BitstreamVeraSans-Roman-31\"/>\n",
" <use x=\"286.279296875\" xlink:href=\"#BitstreamVeraSans-Roman-38\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_17\">\n",
" <!-- MSE -->\n",
" <defs>\n",
" <path d=\"\n",
"M9.8125 72.9062\n",
"L55.9062 72.9062\n",
"L55.9062 64.5938\n",
"L19.6719 64.5938\n",
"L19.6719 43.0156\n",
"L54.3906 43.0156\n",
"L54.3906 34.7188\n",
"L19.6719 34.7188\n",
"L19.6719 8.29688\n",
"L56.7812 8.29688\n",
"L56.7812 0\n",
"L9.8125 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-45\"/>\n",
" <path d=\"\n",
"M9.8125 72.9062\n",
"L24.5156 72.9062\n",
"L43.1094 23.2969\n",
"L61.8125 72.9062\n",
"L76.5156 72.9062\n",
"L76.5156 0\n",
"L66.8906 0\n",
"L66.8906 64.0156\n",
"L48.0938 14.0156\n",
"L38.1875 14.0156\n",
"L19.3906 64.0156\n",
"L19.3906 0\n",
"L9.8125 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-4d\"/>\n",
" </defs>\n",
" <g transform=\"translate(16.276875 207.5751875)rotate(-90.0)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-4d\"/>\n",
" <use x=\"86.279296875\" xlink:href=\"#BitstreamVeraSans-Roman-53\"/>\n",
" <use x=\"149.755859375\" xlink:href=\"#BitstreamVeraSans-Roman-45\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"patch_3\">\n",
" <path d=\"\n",
"M65.8012 23.1417\n",
"L512.201 23.1417\" style=\"fill:none;stroke:#000000;\"/>\n",
" </g>\n",
" <g id=\"patch_4\">\n",
" <path d=\"\n",
"M512.201 368.742\n",
"L512.201 23.1417\" style=\"fill:none;stroke:#000000;\"/>\n",
" </g>\n",
" <g id=\"patch_5\">\n",
" <path d=\"\n",
"M65.8012 368.742\n",
"L512.201 368.742\" style=\"fill:none;stroke:#000000;\"/>\n",
" </g>\n",
" <g id=\"patch_6\">\n",
" <path d=\"\n",
"M65.8012 368.742\n",
"L65.8012 23.1417\" style=\"fill:none;stroke:#000000;\"/>\n",
" </g>\n",
" <g id=\"text_18\">\n",
" <!-- Soft avg. (red) vs. Thresholding (blue) @ 10000 reps (z=1) -->\n",
" <defs>\n",
" <path id=\"BitstreamVeraSans-Roman-20\"/>\n",
" <path d=\"\n",
"M8.01562 75.875\n",
"L15.8281 75.875\n",
"Q23.1406 64.3594 26.7812 53.3125\n",
"Q30.4219 42.2812 30.4219 31.3906\n",
"Q30.4219 20.4531 26.7812 9.375\n",
"Q23.1406 -1.70312 15.8281 -13.1875\n",
"L8.01562 -13.1875\n",
"Q14.5 -2 17.7031 9.0625\n",
"Q20.9062 20.125 20.9062 31.3906\n",
"Q20.9062 42.6719 17.7031 53.6562\n",
"Q14.5 64.6562 8.01562 75.875\" id=\"BitstreamVeraSans-Roman-29\"/>\n",
" <path d=\"\n",
"M31 75.875\n",
"Q24.4688 64.6562 21.2812 53.6562\n",
"Q18.1094 42.6719 18.1094 31.3906\n",
"Q18.1094 20.125 21.3125 9.0625\n",
"Q24.5156 -2 31 -13.1875\n",
"L23.1875 -13.1875\n",
"Q15.875 -1.70312 12.2344 9.375\n",
"Q8.59375 20.4531 8.59375 31.3906\n",
"Q8.59375 42.2812 12.2031 53.3125\n",
"Q15.8281 64.3594 23.1875 75.875\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-28\"/>\n",
" <path d=\"\n",
"M5.51562 54.6875\n",
"L48.1875 54.6875\n",
"L48.1875 46.4844\n",
"L14.4062 7.17188\n",
"L48.1875 7.17188\n",
"L48.1875 0\n",
"L4.29688 0\n",
"L4.29688 8.20312\n",
"L38.0938 47.5156\n",
"L5.51562 47.5156\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-7a\"/>\n",
" <path d=\"\n",
"M9.42188 54.6875\n",
"L18.4062 54.6875\n",
"L18.4062 0\n",
"L9.42188 0\n",
"z\n",
"\n",
"M9.42188 75.9844\n",
"L18.4062 75.9844\n",
"L18.4062 64.5938\n",
"L9.42188 64.5938\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-69\"/>\n",
" <path d=\"\n",
"M54.8906 33.0156\n",
"L54.8906 0\n",
"L45.9062 0\n",
"L45.9062 32.7188\n",
"Q45.9062 40.4844 42.875 44.3281\n",
"Q39.8438 48.1875 33.7969 48.1875\n",
"Q26.5156 48.1875 22.3125 43.5469\n",
"Q18.1094 38.9219 18.1094 30.9062\n",
"L18.1094 0\n",
"L9.07812 0\n",
"L9.07812 75.9844\n",
"L18.1094 75.9844\n",
"L18.1094 46.1875\n",
"Q21.3438 51.125 25.7031 53.5625\n",
"Q30.0781 56 35.7969 56\n",
"Q45.2188 56 50.0469 50.1719\n",
"Q54.8906 44.3438 54.8906 33.0156\" id=\"BitstreamVeraSans-Roman-68\"/>\n",
" <path d=\"\n",
"M10.5938 45.4062\n",
"L73.1875 45.4062\n",
"L73.1875 37.2031\n",
"L10.5938 37.2031\n",
"z\n",
"\n",
"M10.5938 25.4844\n",
"L73.1875 25.4844\n",
"L73.1875 17.1875\n",
"L10.5938 17.1875\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-3d\"/>\n",
" <path d=\"\n",
"M37.2031 26.2188\n",
"Q37.2031 19.2344 40.6719 15.25\n",
"Q44.1406 11.2812 50.2031 11.2812\n",
"Q56.2031 11.2812 59.6406 15.2812\n",
"Q63.0938 19.2812 63.0938 26.2188\n",
"Q63.0938 33.0625 59.5781 37.0781\n",
"Q56.0625 41.1094 50.0938 41.1094\n",
"Q44.1875 41.1094 40.6875 37.1094\n",
"Q37.2031 33.1094 37.2031 26.2188\n",
"M63.8125 11.625\n",
"Q60.8906 7.85938 57.1094 6.07812\n",
"Q53.3281 4.29688 48.2969 4.29688\n",
"Q39.8906 4.29688 34.6406 10.375\n",
"Q29.3906 16.4531 29.3906 26.2188\n",
"Q29.3906 35.9844 34.6562 42.0781\n",
"Q39.9375 48.1875 48.2969 48.1875\n",
"Q53.3281 48.1875 57.125 46.3594\n",
"Q60.9375 44.5312 63.8125 40.8281\n",
"L63.8125 47.2188\n",
"L70.7969 47.2188\n",
"L70.7969 11.2812\n",
"Q77.9375 12.3594 81.9531 17.7969\n",
"Q85.9844 23.25 85.9844 31.8906\n",
"Q85.9844 37.1094 84.4375 41.7031\n",
"Q82.9062 46.2969 79.7812 50.2031\n",
"Q74.7031 56.5938 67.4062 59.9844\n",
"Q60.1094 63.375 51.5156 63.375\n",
"Q45.5156 63.375 39.9844 61.7812\n",
"Q34.4688 60.2031 29.7812 57.0781\n",
"Q22.125 52.0938 17.7969 44.0156\n",
"Q13.4844 35.9375 13.4844 26.5156\n",
"Q13.4844 18.75 16.2812 11.9531\n",
"Q19.0938 5.17188 24.4219 0\n",
"Q29.5469 -5.07812 36.2812 -7.73438\n",
"Q43.0156 -10.4062 50.6875 -10.4062\n",
"Q56.9844 -10.4062 63.0625 -8.28125\n",
"Q69.1406 -6.15625 74.2188 -2.20312\n",
"L78.6094 -7.625\n",
"Q72.5156 -12.3594 65.3125 -14.875\n",
"Q58.1094 -17.3906 50.6875 -17.3906\n",
"Q41.6562 -17.3906 33.6406 -14.1875\n",
"Q25.6406 -10.9844 19.3906 -4.89062\n",
"Q13.1406 1.21875 9.85938 9.25\n",
"Q6.59375 17.2812 6.59375 26.5156\n",
"Q6.59375 35.4062 9.90625 43.4531\n",
"Q13.2344 51.5156 19.3906 57.625\n",
"Q25.6875 63.8125 33.9375 67.1094\n",
"Q42.1875 70.4062 51.4219 70.4062\n",
"Q61.7656 70.4062 70.625 66.1562\n",
"Q79.5 61.9219 85.5 54.1094\n",
"Q89.1562 49.3125 91.0781 43.7031\n",
"Q93.0156 38.0938 93.0156 32.0781\n",
"Q93.0156 19.2344 85.25 11.8125\n",
"Q77.4844 4.39062 63.8125 4.10938\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-40\"/>\n",
" <path d=\"\n",
"M56.2031 29.5938\n",
"L56.2031 25.2031\n",
"L14.8906 25.2031\n",
"Q15.4844 15.9219 20.4844 11.0625\n",
"Q25.4844 6.20312 34.4219 6.20312\n",
"Q39.5938 6.20312 44.4531 7.46875\n",
"Q49.3125 8.73438 54.1094 11.2812\n",
"L54.1094 2.78125\n",
"Q49.2656 0.734375 44.1875 -0.34375\n",
"Q39.1094 -1.42188 33.8906 -1.42188\n",
"Q20.7969 -1.42188 13.1562 6.1875\n",
"Q5.51562 13.8125 5.51562 26.8125\n",
"Q5.51562 40.2344 12.7656 48.1094\n",
"Q20.0156 56 32.3281 56\n",
"Q43.3594 56 49.7812 48.8906\n",
"Q56.2031 41.7969 56.2031 29.5938\n",
"M47.2188 32.2344\n",
"Q47.125 39.5938 43.0938 43.9844\n",
"Q39.0625 48.3906 32.4219 48.3906\n",
"Q24.9062 48.3906 20.3906 44.1406\n",
"Q15.875 39.8906 15.1875 32.1719\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-65\"/>\n",
" <path d=\"\n",
"M45.4062 46.3906\n",
"L45.4062 75.9844\n",
"L54.3906 75.9844\n",
"L54.3906 0\n",
"L45.4062 0\n",
"L45.4062 8.20312\n",
"Q42.5781 3.32812 38.25 0.953125\n",
"Q33.9375 -1.42188 27.875 -1.42188\n",
"Q17.9688 -1.42188 11.7344 6.48438\n",
"Q5.51562 14.4062 5.51562 27.2969\n",
"Q5.51562 40.1875 11.7344 48.0938\n",
"Q17.9688 56 27.875 56\n",
"Q33.9375 56 38.25 53.625\n",
"Q42.5781 51.2656 45.4062 46.3906\n",
"M14.7969 27.2969\n",
"Q14.7969 17.3906 18.875 11.75\n",
"Q22.9531 6.10938 30.0781 6.10938\n",
"Q37.2031 6.10938 41.2969 11.75\n",
"Q45.4062 17.3906 45.4062 27.2969\n",
"Q45.4062 37.2031 41.2969 42.8438\n",
"Q37.2031 48.4844 30.0781 48.4844\n",
"Q22.9531 48.4844 18.875 42.8438\n",
"Q14.7969 37.2031 14.7969 27.2969\" id=\"BitstreamVeraSans-Roman-64\"/>\n",
" <path d=\"\n",
"M45.4062 27.9844\n",
"Q45.4062 37.75 41.375 43.1094\n",
"Q37.3594 48.4844 30.0781 48.4844\n",
"Q22.8594 48.4844 18.8281 43.1094\n",
"Q14.7969 37.75 14.7969 27.9844\n",
"Q14.7969 18.2656 18.8281 12.8906\n",
"Q22.8594 7.51562 30.0781 7.51562\n",
"Q37.3594 7.51562 41.375 12.8906\n",
"Q45.4062 18.2656 45.4062 27.9844\n",
"M54.3906 6.78125\n",
"Q54.3906 -7.17188 48.1875 -13.9844\n",
"Q42 -20.7969 29.2031 -20.7969\n",
"Q24.4688 -20.7969 20.2656 -20.0938\n",
"Q16.0625 -19.3906 12.1094 -17.9219\n",
"L12.1094 -9.1875\n",
"Q16.0625 -11.3281 19.9219 -12.3438\n",
"Q23.7812 -13.375 27.7812 -13.375\n",
"Q36.625 -13.375 41.0156 -8.76562\n",
"Q45.4062 -4.15625 45.4062 5.17188\n",
"L45.4062 9.625\n",
"Q42.625 4.78125 38.2812 2.39062\n",
"Q33.9375 0 27.875 0\n",
"Q17.8281 0 11.6719 7.65625\n",
"Q5.51562 15.3281 5.51562 27.9844\n",
"Q5.51562 40.6719 11.6719 48.3281\n",
"Q17.8281 56 27.875 56\n",
"Q33.9375 56 38.2812 53.6094\n",
"Q42.625 51.2188 45.4062 46.3906\n",
"L45.4062 54.6875\n",
"L54.3906 54.6875\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-67\"/>\n",
" <path d=\"\n",
"M37.1094 75.9844\n",
"L37.1094 68.5\n",
"L28.5156 68.5\n",
"Q23.6875 68.5 21.7969 66.5469\n",
"Q19.9219 64.5938 19.9219 59.5156\n",
"L19.9219 54.6875\n",
"L34.7188 54.6875\n",
"L34.7188 47.7031\n",
"L19.9219 47.7031\n",
"L19.9219 0\n",
"L10.8906 0\n",
"L10.8906 47.7031\n",
"L2.29688 47.7031\n",
"L2.29688 54.6875\n",
"L10.8906 54.6875\n",
"L10.8906 58.5\n",
"Q10.8906 67.625 15.1406 71.7969\n",
"Q19.3906 75.9844 28.6094 75.9844\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-66\"/>\n",
" <path d=\"\n",
"M34.2812 27.4844\n",
"Q23.3906 27.4844 19.1875 25\n",
"Q14.9844 22.5156 14.9844 16.5\n",
"Q14.9844 11.7188 18.1406 8.90625\n",
"Q21.2969 6.10938 26.7031 6.10938\n",
"Q34.1875 6.10938 38.7031 11.4062\n",
"Q43.2188 16.7031 43.2188 25.4844\n",
"L43.2188 27.4844\n",
"z\n",
"\n",
"M52.2031 31.2031\n",
"L52.2031 0\n",
"L43.2188 0\n",
"L43.2188 8.29688\n",
"Q40.1406 3.32812 35.5469 0.953125\n",
"Q30.9531 -1.42188 24.3125 -1.42188\n",
"Q15.9219 -1.42188 10.9531 3.29688\n",
"Q6 8.01562 6 15.9219\n",
"Q6 25.1406 12.1719 29.8281\n",
"Q18.3594 34.5156 30.6094 34.5156\n",
"L43.2188 34.5156\n",
"L43.2188 35.4062\n",
"Q43.2188 41.6094 39.1406 45\n",
"Q35.0625 48.3906 27.6875 48.3906\n",
"Q23 48.3906 18.5469 47.2656\n",
"Q14.1094 46.1406 10.0156 43.8906\n",
"L10.0156 52.2031\n",
"Q14.9375 54.1094 19.5781 55.0469\n",
"Q24.2188 56 28.6094 56\n",
"Q40.4844 56 46.3438 49.8438\n",
"Q52.2031 43.7031 52.2031 31.2031\" id=\"BitstreamVeraSans-Roman-61\"/>\n",
" <path d=\"\n",
"M48.6875 27.2969\n",
"Q48.6875 37.2031 44.6094 42.8438\n",
"Q40.5312 48.4844 33.4062 48.4844\n",
"Q26.2656 48.4844 22.1875 42.8438\n",
"Q18.1094 37.2031 18.1094 27.2969\n",
"Q18.1094 17.3906 22.1875 11.75\n",
"Q26.2656 6.10938 33.4062 6.10938\n",
"Q40.5312 6.10938 44.6094 11.75\n",
"Q48.6875 17.3906 48.6875 27.2969\n",
"M18.1094 46.3906\n",
"Q20.9531 51.2656 25.2656 53.625\n",
"Q29.5938 56 35.5938 56\n",
"Q45.5625 56 51.7812 48.0938\n",
"Q58.0156 40.1875 58.0156 27.2969\n",
"Q58.0156 14.4062 51.7812 6.48438\n",
"Q45.5625 -1.42188 35.5938 -1.42188\n",
"Q29.5938 -1.42188 25.2656 0.953125\n",
"Q20.9531 3.32812 18.1094 8.20312\n",
"L18.1094 0\n",
"L9.07812 0\n",
"L9.07812 75.9844\n",
"L18.1094 75.9844\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-62\"/>\n",
" <path d=\"\n",
"M54.8906 33.0156\n",
"L54.8906 0\n",
"L45.9062 0\n",
"L45.9062 32.7188\n",
"Q45.9062 40.4844 42.875 44.3281\n",
"Q39.8438 48.1875 33.7969 48.1875\n",
"Q26.5156 48.1875 22.3125 43.5469\n",
"Q18.1094 38.9219 18.1094 30.9062\n",
"L18.1094 0\n",
"L9.07812 0\n",
"L9.07812 54.6875\n",
"L18.1094 54.6875\n",
"L18.1094 46.1875\n",
"Q21.3438 51.125 25.7031 53.5625\n",
"Q30.0781 56 35.7969 56\n",
"Q45.2188 56 50.0469 50.1719\n",
"Q54.8906 44.3438 54.8906 33.0156\" id=\"BitstreamVeraSans-Roman-6e\"/>\n",
" <path d=\"\n",
"M30.6094 48.3906\n",
"Q23.3906 48.3906 19.1875 42.75\n",
"Q14.9844 37.1094 14.9844 27.2969\n",
"Q14.9844 17.4844 19.1562 11.8438\n",
"Q23.3438 6.20312 30.6094 6.20312\n",
"Q37.7969 6.20312 41.9844 11.8594\n",
"Q46.1875 17.5312 46.1875 27.2969\n",
"Q46.1875 37.0156 41.9844 42.7031\n",
"Q37.7969 48.3906 30.6094 48.3906\n",
"M30.6094 56\n",
"Q42.3281 56 49.0156 48.375\n",
"Q55.7188 40.7656 55.7188 27.2969\n",
"Q55.7188 13.875 49.0156 6.21875\n",
"Q42.3281 -1.42188 30.6094 -1.42188\n",
"Q18.8438 -1.42188 12.1719 6.21875\n",
"Q5.51562 13.875 5.51562 27.2969\n",
"Q5.51562 40.7656 12.1719 48.375\n",
"Q18.8438 56 30.6094 56\" id=\"BitstreamVeraSans-Roman-6f\"/>\n",
" <path d=\"\n",
"M9.42188 75.9844\n",
"L18.4062 75.9844\n",
"L18.4062 0\n",
"L9.42188 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-6c\"/>\n",
" <path d=\"\n",
"M-0.296875 72.9062\n",
"L61.375 72.9062\n",
"L61.375 64.5938\n",
"L35.5 64.5938\n",
"L35.5 0\n",
"L25.5938 0\n",
"L25.5938 64.5938\n",
"L-0.296875 64.5938\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-54\"/>\n",
" <path d=\"\n",
"M2.98438 54.6875\n",
"L12.5 54.6875\n",
"L29.5938 8.79688\n",
"L46.6875 54.6875\n",
"L56.2031 54.6875\n",
"L35.6875 0\n",
"L23.4844 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-76\"/>\n",
" <path d=\"\n",
"M18.3125 70.2188\n",
"L18.3125 54.6875\n",
"L36.8125 54.6875\n",
"L36.8125 47.7031\n",
"L18.3125 47.7031\n",
"L18.3125 18.0156\n",
"Q18.3125 11.3281 20.1406 9.42188\n",
"Q21.9688 7.51562 27.5938 7.51562\n",
"L36.8125 7.51562\n",
"L36.8125 0\n",
"L27.5938 0\n",
"Q17.1875 0 13.2344 3.875\n",
"Q9.28125 7.76562 9.28125 18.0156\n",
"L9.28125 47.7031\n",
"L2.6875 47.7031\n",
"L2.6875 54.6875\n",
"L9.28125 54.6875\n",
"L9.28125 70.2188\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-74\"/>\n",
" <path d=\"\n",
"M8.5 21.5781\n",
"L8.5 54.6875\n",
"L17.4844 54.6875\n",
"L17.4844 21.9219\n",
"Q17.4844 14.1562 20.5 10.2656\n",
"Q23.5312 6.39062 29.5938 6.39062\n",
"Q36.8594 6.39062 41.0781 11.0312\n",
"Q45.3125 15.6719 45.3125 23.6875\n",
"L45.3125 54.6875\n",
"L54.2969 54.6875\n",
"L54.2969 0\n",
"L45.3125 0\n",
"L45.3125 8.40625\n",
"Q42.0469 3.42188 37.7188 1\n",
"Q33.4062 -1.42188 27.6875 -1.42188\n",
"Q18.2656 -1.42188 13.375 4.4375\n",
"Q8.5 10.2969 8.5 21.5781\" id=\"BitstreamVeraSans-Roman-75\"/>\n",
" <path d=\"\n",
"M41.1094 46.2969\n",
"Q39.5938 47.1719 37.8125 47.5781\n",
"Q36.0312 48 33.8906 48\n",
"Q26.2656 48 22.1875 43.0469\n",
"Q18.1094 38.0938 18.1094 28.8125\n",
"L18.1094 0\n",
"L9.07812 0\n",
"L9.07812 54.6875\n",
"L18.1094 54.6875\n",
"L18.1094 46.1875\n",
"Q20.9531 51.1719 25.4844 53.5781\n",
"Q30.0312 56 36.5312 56\n",
"Q37.4531 56 38.5781 55.875\n",
"Q39.7031 55.7656 41.0625 55.5156\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-72\"/>\n",
" <path d=\"\n",
"M44.2812 53.0781\n",
"L44.2812 44.5781\n",
"Q40.4844 46.5312 36.375 47.5\n",
"Q32.2812 48.4844 27.875 48.4844\n",
"Q21.1875 48.4844 17.8438 46.4375\n",
"Q14.5 44.3906 14.5 40.2812\n",
"Q14.5 37.1562 16.8906 35.375\n",
"Q19.2812 33.5938 26.5156 31.9844\n",
"L29.5938 31.2969\n",
"Q39.1562 29.25 43.1875 25.5156\n",
"Q47.2188 21.7812 47.2188 15.0938\n",
"Q47.2188 7.46875 41.1875 3.01562\n",
"Q35.1562 -1.42188 24.6094 -1.42188\n",
"Q20.2188 -1.42188 15.4531 -0.5625\n",
"Q10.6875 0.296875 5.42188 2\n",
"L5.42188 11.2812\n",
"Q10.4062 8.6875 15.2344 7.39062\n",
"Q20.0625 6.10938 24.8125 6.10938\n",
"Q31.1562 6.10938 34.5625 8.28125\n",
"Q37.9844 10.4531 37.9844 14.4062\n",
"Q37.9844 18.0625 35.5156 20.0156\n",
"Q33.0625 21.9688 24.7031 23.7812\n",
"L21.5781 24.5156\n",
"Q13.2344 26.2656 9.51562 29.9062\n",
"Q5.8125 33.5469 5.8125 39.8906\n",
"Q5.8125 47.6094 11.2812 51.7969\n",
"Q16.75 56 26.8125 56\n",
"Q31.7812 56 36.1719 55.2656\n",
"Q40.5781 54.5469 44.2812 53.0781\" id=\"BitstreamVeraSans-Roman-73\"/>\n",
" <path d=\"\n",
"M18.1094 8.20312\n",
"L18.1094 -20.7969\n",
"L9.07812 -20.7969\n",
"L9.07812 54.6875\n",
"L18.1094 54.6875\n",
"L18.1094 46.3906\n",
"Q20.9531 51.2656 25.2656 53.625\n",
"Q29.5938 56 35.5938 56\n",
"Q45.5625 56 51.7812 48.0938\n",
"Q58.0156 40.1875 58.0156 27.2969\n",
"Q58.0156 14.4062 51.7812 6.48438\n",
"Q45.5625 -1.42188 35.5938 -1.42188\n",
"Q29.5938 -1.42188 25.2656 0.953125\n",
"Q20.9531 3.32812 18.1094 8.20312\n",
"M48.6875 27.2969\n",
"Q48.6875 37.2031 44.6094 42.8438\n",
"Q40.5312 48.4844 33.4062 48.4844\n",
"Q26.2656 48.4844 22.1875 42.8438\n",
"Q18.1094 37.2031 18.1094 27.2969\n",
"Q18.1094 17.3906 22.1875 11.75\n",
"Q26.2656 6.10938 33.4062 6.10938\n",
"Q40.5312 6.10938 44.6094 11.75\n",
"Q48.6875 17.3906 48.6875 27.2969\" id=\"BitstreamVeraSans-Roman-70\"/>\n",
" </defs>\n",
" <g transform=\"translate(78.105375 18.14175)scale(0.144 -0.144)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-53\"/>\n",
" <use x=\"63.4765625\" xlink:href=\"#BitstreamVeraSans-Roman-6f\"/>\n",
" <use x=\"124.658203125\" xlink:href=\"#BitstreamVeraSans-Roman-66\"/>\n",
" <use x=\"158.11328125\" xlink:href=\"#BitstreamVeraSans-Roman-74\"/>\n",
" <use x=\"197.322265625\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"229.109375\" xlink:href=\"#BitstreamVeraSans-Roman-61\"/>\n",
" <use x=\"290.388671875\" xlink:href=\"#BitstreamVeraSans-Roman-76\"/>\n",
" <use x=\"349.568359375\" xlink:href=\"#BitstreamVeraSans-Roman-67\"/>\n",
" <use x=\"413.044921875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"444.83203125\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"476.619140625\" xlink:href=\"#BitstreamVeraSans-Roman-28\"/>\n",
" <use x=\"515.6328125\" xlink:href=\"#BitstreamVeraSans-Roman-72\"/>\n",
" <use x=\"554.49609375\" xlink:href=\"#BitstreamVeraSans-Roman-65\"/>\n",
" <use x=\"616.01953125\" xlink:href=\"#BitstreamVeraSans-Roman-64\"/>\n",
" <use x=\"679.49609375\" xlink:href=\"#BitstreamVeraSans-Roman-29\"/>\n",
" <use x=\"718.509765625\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"750.296875\" xlink:href=\"#BitstreamVeraSans-Roman-76\"/>\n",
" <use x=\"809.4765625\" xlink:href=\"#BitstreamVeraSans-Roman-73\"/>\n",
" <use x=\"861.576171875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"893.36328125\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"925.150390625\" xlink:href=\"#BitstreamVeraSans-Roman-54\"/>\n",
" <use x=\"986.234375\" xlink:href=\"#BitstreamVeraSans-Roman-68\"/>\n",
" <use x=\"1049.61328125\" xlink:href=\"#BitstreamVeraSans-Roman-72\"/>\n",
" <use x=\"1088.4765625\" xlink:href=\"#BitstreamVeraSans-Roman-65\"/>\n",
" <use x=\"1150.0\" xlink:href=\"#BitstreamVeraSans-Roman-73\"/>\n",
" <use x=\"1202.09960938\" xlink:href=\"#BitstreamVeraSans-Roman-68\"/>\n",
" <use x=\"1265.47851562\" xlink:href=\"#BitstreamVeraSans-Roman-6f\"/>\n",
" <use x=\"1326.66015625\" xlink:href=\"#BitstreamVeraSans-Roman-6c\"/>\n",
" <use x=\"1354.44335938\" xlink:href=\"#BitstreamVeraSans-Roman-64\"/>\n",
" <use x=\"1417.91992188\" xlink:href=\"#BitstreamVeraSans-Roman-69\"/>\n",
" <use x=\"1445.703125\" xlink:href=\"#BitstreamVeraSans-Roman-6e\"/>\n",
" <use x=\"1509.08203125\" xlink:href=\"#BitstreamVeraSans-Roman-67\"/>\n",
" <use x=\"1572.55859375\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"1604.34570312\" xlink:href=\"#BitstreamVeraSans-Roman-28\"/>\n",
" <use x=\"1643.359375\" xlink:href=\"#BitstreamVeraSans-Roman-62\"/>\n",
" <use x=\"1706.8359375\" xlink:href=\"#BitstreamVeraSans-Roman-6c\"/>\n",
" <use x=\"1734.61914062\" xlink:href=\"#BitstreamVeraSans-Roman-75\"/>\n",
" <use x=\"1797.99804688\" xlink:href=\"#BitstreamVeraSans-Roman-65\"/>\n",
" <use x=\"1859.52148438\" xlink:href=\"#BitstreamVeraSans-Roman-29\"/>\n",
" <use x=\"1898.53515625\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"1930.32226562\" xlink:href=\"#BitstreamVeraSans-Roman-40\"/>\n",
" <use x=\"2030.32226562\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"2062.109375\" xlink:href=\"#BitstreamVeraSans-Roman-31\"/>\n",
" <use x=\"2125.73242188\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"2189.35546875\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"2252.97851562\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"2316.6015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"2380.22460938\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"2412.01171875\" xlink:href=\"#BitstreamVeraSans-Roman-72\"/>\n",
" <use x=\"2450.875\" xlink:href=\"#BitstreamVeraSans-Roman-65\"/>\n",
" <use x=\"2512.3984375\" xlink:href=\"#BitstreamVeraSans-Roman-70\"/>\n",
" <use x=\"2575.875\" xlink:href=\"#BitstreamVeraSans-Roman-73\"/>\n",
" <use x=\"2627.97460938\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"2659.76171875\" xlink:href=\"#BitstreamVeraSans-Roman-28\"/>\n",
" <use x=\"2698.77539062\" xlink:href=\"#BitstreamVeraSans-Roman-7a\"/>\n",
" <use x=\"2751.265625\" xlink:href=\"#BitstreamVeraSans-Roman-3d\"/>\n",
" <use x=\"2835.0546875\" xlink:href=\"#BitstreamVeraSans-Roman-31\"/>\n",
" <use x=\"2898.67773438\" xlink:href=\"#BitstreamVeraSans-Roman-29\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <defs>\n",
" <clipPath id=\"pb1fd7b6f9c\">\n",
" <rect height=\"345.6\" width=\"446.4\" x=\"65.80125\" y=\"23.14175\"/>\n",
" </clipPath>\n",
" </defs>\n",
"</svg>\n"
],
"text": [
"Figure(PyObject <matplotlib.figure.Figure object at 0x14ad96150>)"
]
}
],
"prompt_number": 103
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"fill_between(SNRs,vec(zz_soft_mse[3,1,:]-zz_soft_mse[3,2,:]),vec(zz_soft_mse[3,1,:]+zz_soft_mse[3,3,:]),facecolor=\"red\",alpha=.5);\n",
"plot(SNRs,vec(zz_soft_mse[3,1,:]),\"r-\")\n",
"fill_between(SNRs,vec(zz_hard_mse[3,1,:]-zz_hard_mse[3,2,:]),vec(zz_hard_mse[3,1,:]+zz_hard_mse[3,3,:]),facecolor=\"blue\",alpha=.5);\n",
"plot(SNRs,vec(zz_hard_mse[3,1,:]),\"b-\")\n",
"xlabel(\"SNR\");\n",
"ylabel(\"MSE\");\n",
"title(\"Soft avg. (red) vs. Thresholding (blue) @ 10000 reps (z=0)\");"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": "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",
"svg": [
"<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n",
"<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n",
" \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n",
"<!-- Created with matplotlib (http://matplotlib.org/) -->\n",
"<svg height=\"403pt\" version=\"1.1\" viewBox=\"0 0 527 403\" width=\"527pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n",
" <defs>\n",
" <style type=\"text/css\">\n",
"*{stroke-linecap:square;stroke-linejoin:round;}\n",
" </style>\n",
" </defs>\n",
" <g id=\"figure_1\">\n",
" <g id=\"patch_1\">\n",
" <path d=\"\n",
"M0 403.095\n",
"L527.979 403.095\n",
"L527.979 0\n",
"L0 0\n",
"z\n",
"\" style=\"fill:#ffffff;\"/>\n",
" </g>\n",
" <g id=\"axes_1\">\n",
" <g id=\"patch_2\">\n",
" <path d=\"\n",
"M65.8012 368.742\n",
"L512.201 368.742\n",
"L512.201 23.1417\n",
"L65.8012 23.1417\n",
"z\n",
"\" style=\"fill:#ffffff;\"/>\n",
" </g>\n",
" <g id=\"PolyCollection_1\">\n",
" <defs>\n",
" <path d=\"\n",
"M65.8012 -270.935\n",
"L65.8012 -242.083\n",
"L115.401 -163.123\n",
"L165.001 -136.809\n",
"L214.601 -130.146\n",
"L264.201 -105.938\n",
"L313.801 -89.8316\n",
"L363.401 -82.6791\n",
"L413.001 -80.4438\n",
"L462.601 -72.5326\n",
"L512.201 -89.1774\n",
"L512.201 -100.704\n",
"L512.201 -100.704\n",
"L462.601 -84.7819\n",
"L413.001 -92.8942\n",
"L363.401 -96.3262\n",
"L313.801 -104.755\n",
"L264.201 -120.903\n",
"L214.601 -146.824\n",
"L165.001 -156.996\n",
"L115.401 -186.821\n",
"L65.8012 -270.935\n",
"z\n",
"\" id=\"C0_0_8974d91711\"/>\n",
" </defs>\n",
" <g clip-path=\"url(#pb1fd7b6f9c)\">\n",
" <use style=\"fill:#ff0000;opacity:0.5;stroke:#000000;stroke-linecap:butt;\" x=\"0\" xlink:href=\"#C0_0_8974d91711\" y=\"403.0955\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"PolyCollection_2\">\n",
" <defs>\n",
" <path d=\"\n",
"M65.8012 -325.991\n",
"L65.8012 -292.701\n",
"L115.401 -181.511\n",
"L165.001 -139.947\n",
"L214.601 -106.277\n",
"L264.201 -93.9048\n",
"L313.801 -77.8182\n",
"L363.401 -65.8543\n",
"L413.001 -62.2645\n",
"L462.601 -58.0995\n",
"L512.201 -57.7722\n",
"L512.201 -68.04\n",
"L512.201 -68.04\n",
"L462.601 -67.7676\n",
"L413.001 -73.2331\n",
"L363.401 -77.2168\n",
"L313.801 -89.4716\n",
"L264.201 -107.298\n",
"L214.601 -121.084\n",
"L165.001 -158.167\n",
"L115.401 -203.747\n",
"L65.8012 -325.991\n",
"z\n",
"\" id=\"C1_0_8322d70cbc\"/>\n",
" </defs>\n",
" <g clip-path=\"url(#pb1fd7b6f9c)\">\n",
" <use style=\"fill:#0000ff;opacity:0.5;stroke:#000000;stroke-linecap:butt;\" x=\"0\" xlink:href=\"#C1_0_8322d70cbc\" y=\"403.0955\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_1\">\n",
" <path clip-path=\"url(#pb1fd7b6f9c)\" d=\"\n",
"M65.8012 134.827\n",
"L115.401 218.22\n",
"L165.001 247.782\n",
"L214.601 257.785\n",
"L264.201 283.425\n",
"L313.801 299.654\n",
"L363.401 308.049\n",
"L413.001 311.383\n",
"L462.601 319.43\n",
"L512.201 303.476\" style=\"fill:none;stroke:#ff0000;\"/>\n",
" </g>\n",
" <g id=\"line2d_2\">\n",
" <path clip-path=\"url(#pb1fd7b6f9c)\" d=\"\n",
"M65.8012 79.8925\n",
"L115.401 201.347\n",
"L165.001 246.586\n",
"L214.601 283.436\n",
"L264.201 297.072\n",
"L313.801 314.716\n",
"L363.401 326.95\n",
"L413.001 330.885\n",
"L462.601 336.145\n",
"L512.201 335.985\" style=\"fill:none;stroke:#0000ff;\"/>\n",
" </g>\n",
" <g id=\"matplotlib.axis_1\">\n",
" <g id=\"xtick_1\">\n",
" <g id=\"line2d_3\">\n",
" <defs>\n",
" <path d=\"\n",
"M0 0\n",
"L0 -4\" id=\"mcb557df647\" style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\"/>\n",
" </defs>\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"65.80125\" xlink:href=\"#mcb557df647\" y=\"368.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_4\">\n",
" <defs>\n",
" <path d=\"\n",
"M0 0\n",
"L0 4\" id=\"mdad270ee8e\" style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\"/>\n",
" </defs>\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"65.80125\" xlink:href=\"#mdad270ee8e\" y=\"23.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_1\">\n",
" <!-- 0.5 -->\n",
" <defs>\n",
" <path d=\"\n",
"M31.7812 66.4062\n",
"Q24.1719 66.4062 20.3281 58.9062\n",
"Q16.5 51.4219 16.5 36.375\n",
"Q16.5 21.3906 20.3281 13.8906\n",
"Q24.1719 6.39062 31.7812 6.39062\n",
"Q39.4531 6.39062 43.2812 13.8906\n",
"Q47.125 21.3906 47.125 36.375\n",
"Q47.125 51.4219 43.2812 58.9062\n",
"Q39.4531 66.4062 31.7812 66.4062\n",
"M31.7812 74.2188\n",
"Q44.0469 74.2188 50.5156 64.5156\n",
"Q56.9844 54.8281 56.9844 36.375\n",
"Q56.9844 17.9688 50.5156 8.26562\n",
"Q44.0469 -1.42188 31.7812 -1.42188\n",
"Q19.5312 -1.42188 13.0625 8.26562\n",
"Q6.59375 17.9688 6.59375 36.375\n",
"Q6.59375 54.8281 13.0625 64.5156\n",
"Q19.5312 74.2188 31.7812 74.2188\" id=\"BitstreamVeraSans-Roman-30\"/>\n",
" <path d=\"\n",
"M10.6875 12.4062\n",
"L21 12.4062\n",
"L21 0\n",
"L10.6875 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-2e\"/>\n",
" <path d=\"\n",
"M10.7969 72.9062\n",
"L49.5156 72.9062\n",
"L49.5156 64.5938\n",
"L19.8281 64.5938\n",
"L19.8281 46.7344\n",
"Q21.9688 47.4688 24.1094 47.8281\n",
"Q26.2656 48.1875 28.4219 48.1875\n",
"Q40.625 48.1875 47.75 41.5\n",
"Q54.8906 34.8125 54.8906 23.3906\n",
"Q54.8906 11.625 47.5625 5.09375\n",
"Q40.2344 -1.42188 26.9062 -1.42188\n",
"Q22.3125 -1.42188 17.5469 -0.640625\n",
"Q12.7969 0.140625 7.71875 1.70312\n",
"L7.71875 11.625\n",
"Q12.1094 9.23438 16.7969 8.0625\n",
"Q21.4844 6.89062 26.7031 6.89062\n",
"Q35.1562 6.89062 40.0781 11.3281\n",
"Q45.0156 15.7656 45.0156 23.3906\n",
"Q45.0156 31 40.0781 35.4375\n",
"Q35.1562 39.8906 26.7031 39.8906\n",
"Q22.75 39.8906 18.8125 39.0156\n",
"Q14.8906 38.1406 10.7969 36.2812\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-35\"/>\n",
" </defs>\n",
" <g transform=\"translate(57.1790625 381.648)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-35\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_2\">\n",
" <g id=\"line2d_5\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"177.40125\" xlink:href=\"#mcb557df647\" y=\"368.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_6\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"177.40125\" xlink:href=\"#mdad270ee8e\" y=\"23.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_2\">\n",
" <!-- 1.0 -->\n",
" <defs>\n",
" <path d=\"\n",
"M12.4062 8.29688\n",
"L28.5156 8.29688\n",
"L28.5156 63.9219\n",
"L10.9844 60.4062\n",
"L10.9844 69.3906\n",
"L28.4219 72.9062\n",
"L38.2812 72.9062\n",
"L38.2812 8.29688\n",
"L54.3906 8.29688\n",
"L54.3906 0\n",
"L12.4062 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-31\"/>\n",
" </defs>\n",
" <g transform=\"translate(168.916875 381.648)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-31\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_3\">\n",
" <g id=\"line2d_7\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"289.00125\" xlink:href=\"#mcb557df647\" y=\"368.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_8\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"289.00125\" xlink:href=\"#mdad270ee8e\" y=\"23.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_3\">\n",
" <!-- 1.5 -->\n",
" <g transform=\"translate(280.6425 381.4905)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-31\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-35\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_4\">\n",
" <g id=\"line2d_9\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"400.60125\" xlink:href=\"#mcb557df647\" y=\"368.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_10\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"400.60125\" xlink:href=\"#mdad270ee8e\" y=\"23.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_4\">\n",
" <!-- 2.0 -->\n",
" <defs>\n",
" <path d=\"\n",
"M19.1875 8.29688\n",
"L53.6094 8.29688\n",
"L53.6094 0\n",
"L7.32812 0\n",
"L7.32812 8.29688\n",
"Q12.9375 14.1094 22.625 23.8906\n",
"Q32.3281 33.6875 34.8125 36.5312\n",
"Q39.5469 41.8438 41.4219 45.5312\n",
"Q43.3125 49.2188 43.3125 52.7812\n",
"Q43.3125 58.5938 39.2344 62.25\n",
"Q35.1562 65.9219 28.6094 65.9219\n",
"Q23.9688 65.9219 18.8125 64.3125\n",
"Q13.6719 62.7031 7.8125 59.4219\n",
"L7.8125 69.3906\n",
"Q13.7656 71.7812 18.9375 73\n",
"Q24.125 74.2188 28.4219 74.2188\n",
"Q39.75 74.2188 46.4844 68.5469\n",
"Q53.2188 62.8906 53.2188 53.4219\n",
"Q53.2188 48.9219 51.5312 44.8906\n",
"Q49.8594 40.875 45.4062 35.4062\n",
"Q44.1875 33.9844 37.6406 27.2188\n",
"Q31.1094 20.4531 19.1875 8.29688\" id=\"BitstreamVeraSans-Roman-32\"/>\n",
" </defs>\n",
" <g transform=\"translate(391.8975 381.648)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-32\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_5\">\n",
" <g id=\"line2d_11\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"512.20125\" xlink:href=\"#mcb557df647\" y=\"368.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_12\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"512.20125\" xlink:href=\"#mdad270ee8e\" y=\"23.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_5\">\n",
" <!-- 2.5 -->\n",
" <g transform=\"translate(503.623125 381.648)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-32\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-35\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_6\">\n",
" <!-- SNR -->\n",
" <defs>\n",
" <path d=\"\n",
"M9.8125 72.9062\n",
"L23.0938 72.9062\n",
"L55.4219 11.9219\n",
"L55.4219 72.9062\n",
"L64.9844 72.9062\n",
"L64.9844 0\n",
"L51.7031 0\n",
"L19.3906 60.9844\n",
"L19.3906 0\n",
"L9.8125 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-4e\"/>\n",
" <path d=\"\n",
"M53.5156 70.5156\n",
"L53.5156 60.8906\n",
"Q47.9062 63.5781 42.9219 64.8906\n",
"Q37.9375 66.2188 33.2969 66.2188\n",
"Q25.25 66.2188 20.875 63.0938\n",
"Q16.5 59.9688 16.5 54.2031\n",
"Q16.5 49.3594 19.4062 46.8906\n",
"Q22.3125 44.4375 30.4219 42.9219\n",
"L36.375 41.7031\n",
"Q47.4062 39.5938 52.6562 34.2969\n",
"Q57.9062 29 57.9062 20.125\n",
"Q57.9062 9.51562 50.7969 4.04688\n",
"Q43.7031 -1.42188 29.9844 -1.42188\n",
"Q24.8125 -1.42188 18.9688 -0.25\n",
"Q13.1406 0.921875 6.89062 3.21875\n",
"L6.89062 13.375\n",
"Q12.8906 10.0156 18.6562 8.29688\n",
"Q24.4219 6.59375 29.9844 6.59375\n",
"Q38.4219 6.59375 43.0156 9.90625\n",
"Q47.6094 13.2344 47.6094 19.3906\n",
"Q47.6094 24.75 44.3125 27.7812\n",
"Q41.0156 30.8125 33.5 32.3281\n",
"L27.4844 33.5\n",
"Q16.4531 35.6875 11.5156 40.375\n",
"Q6.59375 45.0625 6.59375 53.4219\n",
"Q6.59375 63.0938 13.4062 68.6562\n",
"Q20.2188 74.2188 32.1719 74.2188\n",
"Q37.3125 74.2188 42.625 73.2812\n",
"Q47.9531 72.3594 53.5156 70.5156\" id=\"BitstreamVeraSans-Roman-53\"/>\n",
" <path d=\"\n",
"M44.3906 34.1875\n",
"Q47.5625 33.1094 50.5625 29.5938\n",
"Q53.5625 26.0781 56.5938 19.9219\n",
"L66.6094 0\n",
"L56 0\n",
"L46.6875 18.7031\n",
"Q43.0625 26.0312 39.6719 28.4219\n",
"Q36.2812 30.8125 30.4219 30.8125\n",
"L19.6719 30.8125\n",
"L19.6719 0\n",
"L9.8125 0\n",
"L9.8125 72.9062\n",
"L32.0781 72.9062\n",
"Q44.5781 72.9062 50.7344 67.6719\n",
"Q56.8906 62.4531 56.8906 51.9062\n",
"Q56.8906 45.0156 53.6875 40.4688\n",
"Q50.4844 35.9375 44.3906 34.1875\n",
"M19.6719 64.7969\n",
"L19.6719 38.9219\n",
"L32.0781 38.9219\n",
"Q39.2031 38.9219 42.8438 42.2188\n",
"Q46.4844 45.5156 46.4844 51.9062\n",
"Q46.4844 58.2969 42.8438 61.5469\n",
"Q39.2031 64.7969 32.0781 64.7969\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-52\"/>\n",
" </defs>\n",
" <g transform=\"translate(277.1025 395.724875)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-53\"/>\n",
" <use x=\"63.4765625\" xlink:href=\"#BitstreamVeraSans-Roman-4e\"/>\n",
" <use x=\"138.28125\" xlink:href=\"#BitstreamVeraSans-Roman-52\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"matplotlib.axis_2\">\n",
" <g id=\"ytick_1\">\n",
" <g id=\"line2d_13\">\n",
" <defs>\n",
" <path d=\"\n",
"M0 0\n",
"L4 0\" id=\"mc8fcea1516\" style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\"/>\n",
" </defs>\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"65.80125\" xlink:href=\"#mc8fcea1516\" y=\"368.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_14\">\n",
" <defs>\n",
" <path d=\"\n",
"M0 0\n",
"L-4 0\" id=\"m0d5b0a6425\" style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\"/>\n",
" </defs>\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"512.20125\" xlink:href=\"#m0d5b0a6425\" y=\"368.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_7\">\n",
" <!-- 0.0002 -->\n",
" <g transform=\"translate(21.805625 373.1095625)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"222.65625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"286.279296875\" xlink:href=\"#BitstreamVeraSans-Roman-32\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_2\">\n",
" <g id=\"line2d_15\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"65.80125\" xlink:href=\"#mc8fcea1516\" y=\"311.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_16\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"512.20125\" xlink:href=\"#m0d5b0a6425\" y=\"311.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_8\">\n",
" <!-- 0.0004 -->\n",
" <defs>\n",
" <path d=\"\n",
"M37.7969 64.3125\n",
"L12.8906 25.3906\n",
"L37.7969 25.3906\n",
"z\n",
"\n",
"M35.2031 72.9062\n",
"L47.6094 72.9062\n",
"L47.6094 25.3906\n",
"L58.0156 25.3906\n",
"L58.0156 17.1875\n",
"L47.6094 17.1875\n",
"L47.6094 0\n",
"L37.7969 0\n",
"L37.7969 17.1875\n",
"L4.89062 17.1875\n",
"L4.89062 26.7031\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-34\"/>\n",
" </defs>\n",
" <g transform=\"translate(21.276875 315.5095625)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"222.65625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"286.279296875\" xlink:href=\"#BitstreamVeraSans-Roman-34\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_3\">\n",
" <g id=\"line2d_17\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"65.80125\" xlink:href=\"#mc8fcea1516\" y=\"253.54175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_18\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"512.20125\" xlink:href=\"#m0d5b0a6425\" y=\"253.54175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_9\">\n",
" <!-- 0.0006 -->\n",
" <defs>\n",
" <path d=\"\n",
"M33.0156 40.375\n",
"Q26.375 40.375 22.4844 35.8281\n",
"Q18.6094 31.2969 18.6094 23.3906\n",
"Q18.6094 15.5312 22.4844 10.9531\n",
"Q26.375 6.39062 33.0156 6.39062\n",
"Q39.6562 6.39062 43.5312 10.9531\n",
"Q47.4062 15.5312 47.4062 23.3906\n",
"Q47.4062 31.2969 43.5312 35.8281\n",
"Q39.6562 40.375 33.0156 40.375\n",
"M52.5938 71.2969\n",
"L52.5938 62.3125\n",
"Q48.875 64.0625 45.0938 64.9844\n",
"Q41.3125 65.9219 37.5938 65.9219\n",
"Q27.8281 65.9219 22.6719 59.3281\n",
"Q17.5312 52.7344 16.7969 39.4062\n",
"Q19.6719 43.6562 24.0156 45.9219\n",
"Q28.375 48.1875 33.5938 48.1875\n",
"Q44.5781 48.1875 50.9531 41.5156\n",
"Q57.3281 34.8594 57.3281 23.3906\n",
"Q57.3281 12.1562 50.6875 5.35938\n",
"Q44.0469 -1.42188 33.0156 -1.42188\n",
"Q20.3594 -1.42188 13.6719 8.26562\n",
"Q6.98438 17.9688 6.98438 36.375\n",
"Q6.98438 53.6562 15.1875 63.9375\n",
"Q23.3906 74.2188 37.2031 74.2188\n",
"Q40.9219 74.2188 44.7031 73.4844\n",
"Q48.4844 72.75 52.5938 71.2969\" id=\"BitstreamVeraSans-Roman-36\"/>\n",
" </defs>\n",
" <g transform=\"translate(21.359375 257.9095625)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"222.65625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"286.279296875\" xlink:href=\"#BitstreamVeraSans-Roman-36\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_4\">\n",
" <g id=\"line2d_19\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"65.80125\" xlink:href=\"#mc8fcea1516\" y=\"195.94175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_20\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"512.20125\" xlink:href=\"#m0d5b0a6425\" y=\"195.94175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_10\">\n",
" <!-- 0.0008 -->\n",
" <defs>\n",
" <path d=\"\n",
"M31.7812 34.625\n",
"Q24.75 34.625 20.7188 30.8594\n",
"Q16.7031 27.0938 16.7031 20.5156\n",
"Q16.7031 13.9219 20.7188 10.1562\n",
"Q24.75 6.39062 31.7812 6.39062\n",
"Q38.8125 6.39062 42.8594 10.1719\n",
"Q46.9219 13.9688 46.9219 20.5156\n",
"Q46.9219 27.0938 42.8906 30.8594\n",
"Q38.875 34.625 31.7812 34.625\n",
"M21.9219 38.8125\n",
"Q15.5781 40.375 12.0312 44.7188\n",
"Q8.5 49.0781 8.5 55.3281\n",
"Q8.5 64.0625 14.7188 69.1406\n",
"Q20.9531 74.2188 31.7812 74.2188\n",
"Q42.6719 74.2188 48.875 69.1406\n",
"Q55.0781 64.0625 55.0781 55.3281\n",
"Q55.0781 49.0781 51.5312 44.7188\n",
"Q48 40.375 41.7031 38.8125\n",
"Q48.8281 37.1562 52.7969 32.3125\n",
"Q56.7812 27.4844 56.7812 20.5156\n",
"Q56.7812 9.90625 50.3125 4.23438\n",
"Q43.8438 -1.42188 31.7812 -1.42188\n",
"Q19.7344 -1.42188 13.25 4.23438\n",
"Q6.78125 9.90625 6.78125 20.5156\n",
"Q6.78125 27.4844 10.7812 32.3125\n",
"Q14.7969 37.1562 21.9219 38.8125\n",
"M18.3125 54.3906\n",
"Q18.3125 48.7344 21.8438 45.5625\n",
"Q25.3906 42.3906 31.7812 42.3906\n",
"Q38.1406 42.3906 41.7188 45.5625\n",
"Q45.3125 48.7344 45.3125 54.3906\n",
"Q45.3125 60.0625 41.7188 63.2344\n",
"Q38.1406 66.4062 31.7812 66.4062\n",
"Q25.3906 66.4062 21.8438 63.2344\n",
"Q18.3125 60.0625 18.3125 54.3906\" id=\"BitstreamVeraSans-Roman-38\"/>\n",
" </defs>\n",
" <g transform=\"translate(21.425 200.3095625)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"222.65625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"286.279296875\" xlink:href=\"#BitstreamVeraSans-Roman-38\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_5\">\n",
" <g id=\"line2d_21\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"65.80125\" xlink:href=\"#mc8fcea1516\" y=\"138.34175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_22\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"512.20125\" xlink:href=\"#m0d5b0a6425\" y=\"138.34175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_11\">\n",
" <!-- 0.0010 -->\n",
" <g transform=\"translate(21.400625 142.7095625)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"222.65625\" xlink:href=\"#BitstreamVeraSans-Roman-31\"/>\n",
" <use x=\"286.279296875\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_6\">\n",
" <g id=\"line2d_23\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"65.80125\" xlink:href=\"#mc8fcea1516\" y=\"80.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_24\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"512.20125\" xlink:href=\"#m0d5b0a6425\" y=\"80.74175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_12\">\n",
" <!-- 0.0012 -->\n",
" <g transform=\"translate(21.805625 85.1095625)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"222.65625\" xlink:href=\"#BitstreamVeraSans-Roman-31\"/>\n",
" <use x=\"286.279296875\" xlink:href=\"#BitstreamVeraSans-Roman-32\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_7\">\n",
" <g id=\"line2d_25\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"65.80125\" xlink:href=\"#mc8fcea1516\" y=\"23.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"line2d_26\">\n",
" <g>\n",
" <use style=\"stroke:#000000;stroke-linecap:butt;stroke-width:0.5;\" x=\"512.20125\" xlink:href=\"#m0d5b0a6425\" y=\"23.14175\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_13\">\n",
" <!-- 0.0014 -->\n",
" <g transform=\"translate(21.276875 27.5095625)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"63.623046875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"95.41015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"159.033203125\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"222.65625\" xlink:href=\"#BitstreamVeraSans-Roman-31\"/>\n",
" <use x=\"286.279296875\" xlink:href=\"#BitstreamVeraSans-Roman-34\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_14\">\n",
" <!-- MSE -->\n",
" <defs>\n",
" <path d=\"\n",
"M9.8125 72.9062\n",
"L55.9062 72.9062\n",
"L55.9062 64.5938\n",
"L19.6719 64.5938\n",
"L19.6719 43.0156\n",
"L54.3906 43.0156\n",
"L54.3906 34.7188\n",
"L19.6719 34.7188\n",
"L19.6719 8.29688\n",
"L56.7812 8.29688\n",
"L56.7812 0\n",
"L9.8125 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-45\"/>\n",
" <path d=\"\n",
"M9.8125 72.9062\n",
"L24.5156 72.9062\n",
"L43.1094 23.2969\n",
"L61.8125 72.9062\n",
"L76.5156 72.9062\n",
"L76.5156 0\n",
"L66.8906 0\n",
"L66.8906 64.0156\n",
"L48.0938 14.0156\n",
"L38.1875 14.0156\n",
"L19.3906 64.0156\n",
"L19.3906 0\n",
"L9.8125 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-4d\"/>\n",
" </defs>\n",
" <g transform=\"translate(16.276875 207.5751875)rotate(-90.0)scale(0.12 -0.12)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-4d\"/>\n",
" <use x=\"86.279296875\" xlink:href=\"#BitstreamVeraSans-Roman-53\"/>\n",
" <use x=\"149.755859375\" xlink:href=\"#BitstreamVeraSans-Roman-45\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"patch_3\">\n",
" <path d=\"\n",
"M65.8012 23.1417\n",
"L512.201 23.1417\" style=\"fill:none;stroke:#000000;\"/>\n",
" </g>\n",
" <g id=\"patch_4\">\n",
" <path d=\"\n",
"M512.201 368.742\n",
"L512.201 23.1417\" style=\"fill:none;stroke:#000000;\"/>\n",
" </g>\n",
" <g id=\"patch_5\">\n",
" <path d=\"\n",
"M65.8012 368.742\n",
"L512.201 368.742\" style=\"fill:none;stroke:#000000;\"/>\n",
" </g>\n",
" <g id=\"patch_6\">\n",
" <path d=\"\n",
"M65.8012 368.742\n",
"L65.8012 23.1417\" style=\"fill:none;stroke:#000000;\"/>\n",
" </g>\n",
" <g id=\"text_15\">\n",
" <!-- Soft avg. (red) vs. Thresholding (blue) @ 10000 reps (z=0) -->\n",
" <defs>\n",
" <path id=\"BitstreamVeraSans-Roman-20\"/>\n",
" <path d=\"\n",
"M8.01562 75.875\n",
"L15.8281 75.875\n",
"Q23.1406 64.3594 26.7812 53.3125\n",
"Q30.4219 42.2812 30.4219 31.3906\n",
"Q30.4219 20.4531 26.7812 9.375\n",
"Q23.1406 -1.70312 15.8281 -13.1875\n",
"L8.01562 -13.1875\n",
"Q14.5 -2 17.7031 9.0625\n",
"Q20.9062 20.125 20.9062 31.3906\n",
"Q20.9062 42.6719 17.7031 53.6562\n",
"Q14.5 64.6562 8.01562 75.875\" id=\"BitstreamVeraSans-Roman-29\"/>\n",
" <path d=\"\n",
"M31 75.875\n",
"Q24.4688 64.6562 21.2812 53.6562\n",
"Q18.1094 42.6719 18.1094 31.3906\n",
"Q18.1094 20.125 21.3125 9.0625\n",
"Q24.5156 -2 31 -13.1875\n",
"L23.1875 -13.1875\n",
"Q15.875 -1.70312 12.2344 9.375\n",
"Q8.59375 20.4531 8.59375 31.3906\n",
"Q8.59375 42.2812 12.2031 53.3125\n",
"Q15.8281 64.3594 23.1875 75.875\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-28\"/>\n",
" <path d=\"\n",
"M5.51562 54.6875\n",
"L48.1875 54.6875\n",
"L48.1875 46.4844\n",
"L14.4062 7.17188\n",
"L48.1875 7.17188\n",
"L48.1875 0\n",
"L4.29688 0\n",
"L4.29688 8.20312\n",
"L38.0938 47.5156\n",
"L5.51562 47.5156\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-7a\"/>\n",
" <path d=\"\n",
"M9.42188 54.6875\n",
"L18.4062 54.6875\n",
"L18.4062 0\n",
"L9.42188 0\n",
"z\n",
"\n",
"M9.42188 75.9844\n",
"L18.4062 75.9844\n",
"L18.4062 64.5938\n",
"L9.42188 64.5938\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-69\"/>\n",
" <path d=\"\n",
"M54.8906 33.0156\n",
"L54.8906 0\n",
"L45.9062 0\n",
"L45.9062 32.7188\n",
"Q45.9062 40.4844 42.875 44.3281\n",
"Q39.8438 48.1875 33.7969 48.1875\n",
"Q26.5156 48.1875 22.3125 43.5469\n",
"Q18.1094 38.9219 18.1094 30.9062\n",
"L18.1094 0\n",
"L9.07812 0\n",
"L9.07812 75.9844\n",
"L18.1094 75.9844\n",
"L18.1094 46.1875\n",
"Q21.3438 51.125 25.7031 53.5625\n",
"Q30.0781 56 35.7969 56\n",
"Q45.2188 56 50.0469 50.1719\n",
"Q54.8906 44.3438 54.8906 33.0156\" id=\"BitstreamVeraSans-Roman-68\"/>\n",
" <path d=\"\n",
"M10.5938 45.4062\n",
"L73.1875 45.4062\n",
"L73.1875 37.2031\n",
"L10.5938 37.2031\n",
"z\n",
"\n",
"M10.5938 25.4844\n",
"L73.1875 25.4844\n",
"L73.1875 17.1875\n",
"L10.5938 17.1875\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-3d\"/>\n",
" <path d=\"\n",
"M37.2031 26.2188\n",
"Q37.2031 19.2344 40.6719 15.25\n",
"Q44.1406 11.2812 50.2031 11.2812\n",
"Q56.2031 11.2812 59.6406 15.2812\n",
"Q63.0938 19.2812 63.0938 26.2188\n",
"Q63.0938 33.0625 59.5781 37.0781\n",
"Q56.0625 41.1094 50.0938 41.1094\n",
"Q44.1875 41.1094 40.6875 37.1094\n",
"Q37.2031 33.1094 37.2031 26.2188\n",
"M63.8125 11.625\n",
"Q60.8906 7.85938 57.1094 6.07812\n",
"Q53.3281 4.29688 48.2969 4.29688\n",
"Q39.8906 4.29688 34.6406 10.375\n",
"Q29.3906 16.4531 29.3906 26.2188\n",
"Q29.3906 35.9844 34.6562 42.0781\n",
"Q39.9375 48.1875 48.2969 48.1875\n",
"Q53.3281 48.1875 57.125 46.3594\n",
"Q60.9375 44.5312 63.8125 40.8281\n",
"L63.8125 47.2188\n",
"L70.7969 47.2188\n",
"L70.7969 11.2812\n",
"Q77.9375 12.3594 81.9531 17.7969\n",
"Q85.9844 23.25 85.9844 31.8906\n",
"Q85.9844 37.1094 84.4375 41.7031\n",
"Q82.9062 46.2969 79.7812 50.2031\n",
"Q74.7031 56.5938 67.4062 59.9844\n",
"Q60.1094 63.375 51.5156 63.375\n",
"Q45.5156 63.375 39.9844 61.7812\n",
"Q34.4688 60.2031 29.7812 57.0781\n",
"Q22.125 52.0938 17.7969 44.0156\n",
"Q13.4844 35.9375 13.4844 26.5156\n",
"Q13.4844 18.75 16.2812 11.9531\n",
"Q19.0938 5.17188 24.4219 0\n",
"Q29.5469 -5.07812 36.2812 -7.73438\n",
"Q43.0156 -10.4062 50.6875 -10.4062\n",
"Q56.9844 -10.4062 63.0625 -8.28125\n",
"Q69.1406 -6.15625 74.2188 -2.20312\n",
"L78.6094 -7.625\n",
"Q72.5156 -12.3594 65.3125 -14.875\n",
"Q58.1094 -17.3906 50.6875 -17.3906\n",
"Q41.6562 -17.3906 33.6406 -14.1875\n",
"Q25.6406 -10.9844 19.3906 -4.89062\n",
"Q13.1406 1.21875 9.85938 9.25\n",
"Q6.59375 17.2812 6.59375 26.5156\n",
"Q6.59375 35.4062 9.90625 43.4531\n",
"Q13.2344 51.5156 19.3906 57.625\n",
"Q25.6875 63.8125 33.9375 67.1094\n",
"Q42.1875 70.4062 51.4219 70.4062\n",
"Q61.7656 70.4062 70.625 66.1562\n",
"Q79.5 61.9219 85.5 54.1094\n",
"Q89.1562 49.3125 91.0781 43.7031\n",
"Q93.0156 38.0938 93.0156 32.0781\n",
"Q93.0156 19.2344 85.25 11.8125\n",
"Q77.4844 4.39062 63.8125 4.10938\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-40\"/>\n",
" <path d=\"\n",
"M56.2031 29.5938\n",
"L56.2031 25.2031\n",
"L14.8906 25.2031\n",
"Q15.4844 15.9219 20.4844 11.0625\n",
"Q25.4844 6.20312 34.4219 6.20312\n",
"Q39.5938 6.20312 44.4531 7.46875\n",
"Q49.3125 8.73438 54.1094 11.2812\n",
"L54.1094 2.78125\n",
"Q49.2656 0.734375 44.1875 -0.34375\n",
"Q39.1094 -1.42188 33.8906 -1.42188\n",
"Q20.7969 -1.42188 13.1562 6.1875\n",
"Q5.51562 13.8125 5.51562 26.8125\n",
"Q5.51562 40.2344 12.7656 48.1094\n",
"Q20.0156 56 32.3281 56\n",
"Q43.3594 56 49.7812 48.8906\n",
"Q56.2031 41.7969 56.2031 29.5938\n",
"M47.2188 32.2344\n",
"Q47.125 39.5938 43.0938 43.9844\n",
"Q39.0625 48.3906 32.4219 48.3906\n",
"Q24.9062 48.3906 20.3906 44.1406\n",
"Q15.875 39.8906 15.1875 32.1719\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-65\"/>\n",
" <path d=\"\n",
"M45.4062 46.3906\n",
"L45.4062 75.9844\n",
"L54.3906 75.9844\n",
"L54.3906 0\n",
"L45.4062 0\n",
"L45.4062 8.20312\n",
"Q42.5781 3.32812 38.25 0.953125\n",
"Q33.9375 -1.42188 27.875 -1.42188\n",
"Q17.9688 -1.42188 11.7344 6.48438\n",
"Q5.51562 14.4062 5.51562 27.2969\n",
"Q5.51562 40.1875 11.7344 48.0938\n",
"Q17.9688 56 27.875 56\n",
"Q33.9375 56 38.25 53.625\n",
"Q42.5781 51.2656 45.4062 46.3906\n",
"M14.7969 27.2969\n",
"Q14.7969 17.3906 18.875 11.75\n",
"Q22.9531 6.10938 30.0781 6.10938\n",
"Q37.2031 6.10938 41.2969 11.75\n",
"Q45.4062 17.3906 45.4062 27.2969\n",
"Q45.4062 37.2031 41.2969 42.8438\n",
"Q37.2031 48.4844 30.0781 48.4844\n",
"Q22.9531 48.4844 18.875 42.8438\n",
"Q14.7969 37.2031 14.7969 27.2969\" id=\"BitstreamVeraSans-Roman-64\"/>\n",
" <path d=\"\n",
"M45.4062 27.9844\n",
"Q45.4062 37.75 41.375 43.1094\n",
"Q37.3594 48.4844 30.0781 48.4844\n",
"Q22.8594 48.4844 18.8281 43.1094\n",
"Q14.7969 37.75 14.7969 27.9844\n",
"Q14.7969 18.2656 18.8281 12.8906\n",
"Q22.8594 7.51562 30.0781 7.51562\n",
"Q37.3594 7.51562 41.375 12.8906\n",
"Q45.4062 18.2656 45.4062 27.9844\n",
"M54.3906 6.78125\n",
"Q54.3906 -7.17188 48.1875 -13.9844\n",
"Q42 -20.7969 29.2031 -20.7969\n",
"Q24.4688 -20.7969 20.2656 -20.0938\n",
"Q16.0625 -19.3906 12.1094 -17.9219\n",
"L12.1094 -9.1875\n",
"Q16.0625 -11.3281 19.9219 -12.3438\n",
"Q23.7812 -13.375 27.7812 -13.375\n",
"Q36.625 -13.375 41.0156 -8.76562\n",
"Q45.4062 -4.15625 45.4062 5.17188\n",
"L45.4062 9.625\n",
"Q42.625 4.78125 38.2812 2.39062\n",
"Q33.9375 0 27.875 0\n",
"Q17.8281 0 11.6719 7.65625\n",
"Q5.51562 15.3281 5.51562 27.9844\n",
"Q5.51562 40.6719 11.6719 48.3281\n",
"Q17.8281 56 27.875 56\n",
"Q33.9375 56 38.2812 53.6094\n",
"Q42.625 51.2188 45.4062 46.3906\n",
"L45.4062 54.6875\n",
"L54.3906 54.6875\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-67\"/>\n",
" <path d=\"\n",
"M37.1094 75.9844\n",
"L37.1094 68.5\n",
"L28.5156 68.5\n",
"Q23.6875 68.5 21.7969 66.5469\n",
"Q19.9219 64.5938 19.9219 59.5156\n",
"L19.9219 54.6875\n",
"L34.7188 54.6875\n",
"L34.7188 47.7031\n",
"L19.9219 47.7031\n",
"L19.9219 0\n",
"L10.8906 0\n",
"L10.8906 47.7031\n",
"L2.29688 47.7031\n",
"L2.29688 54.6875\n",
"L10.8906 54.6875\n",
"L10.8906 58.5\n",
"Q10.8906 67.625 15.1406 71.7969\n",
"Q19.3906 75.9844 28.6094 75.9844\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-66\"/>\n",
" <path d=\"\n",
"M34.2812 27.4844\n",
"Q23.3906 27.4844 19.1875 25\n",
"Q14.9844 22.5156 14.9844 16.5\n",
"Q14.9844 11.7188 18.1406 8.90625\n",
"Q21.2969 6.10938 26.7031 6.10938\n",
"Q34.1875 6.10938 38.7031 11.4062\n",
"Q43.2188 16.7031 43.2188 25.4844\n",
"L43.2188 27.4844\n",
"z\n",
"\n",
"M52.2031 31.2031\n",
"L52.2031 0\n",
"L43.2188 0\n",
"L43.2188 8.29688\n",
"Q40.1406 3.32812 35.5469 0.953125\n",
"Q30.9531 -1.42188 24.3125 -1.42188\n",
"Q15.9219 -1.42188 10.9531 3.29688\n",
"Q6 8.01562 6 15.9219\n",
"Q6 25.1406 12.1719 29.8281\n",
"Q18.3594 34.5156 30.6094 34.5156\n",
"L43.2188 34.5156\n",
"L43.2188 35.4062\n",
"Q43.2188 41.6094 39.1406 45\n",
"Q35.0625 48.3906 27.6875 48.3906\n",
"Q23 48.3906 18.5469 47.2656\n",
"Q14.1094 46.1406 10.0156 43.8906\n",
"L10.0156 52.2031\n",
"Q14.9375 54.1094 19.5781 55.0469\n",
"Q24.2188 56 28.6094 56\n",
"Q40.4844 56 46.3438 49.8438\n",
"Q52.2031 43.7031 52.2031 31.2031\" id=\"BitstreamVeraSans-Roman-61\"/>\n",
" <path d=\"\n",
"M48.6875 27.2969\n",
"Q48.6875 37.2031 44.6094 42.8438\n",
"Q40.5312 48.4844 33.4062 48.4844\n",
"Q26.2656 48.4844 22.1875 42.8438\n",
"Q18.1094 37.2031 18.1094 27.2969\n",
"Q18.1094 17.3906 22.1875 11.75\n",
"Q26.2656 6.10938 33.4062 6.10938\n",
"Q40.5312 6.10938 44.6094 11.75\n",
"Q48.6875 17.3906 48.6875 27.2969\n",
"M18.1094 46.3906\n",
"Q20.9531 51.2656 25.2656 53.625\n",
"Q29.5938 56 35.5938 56\n",
"Q45.5625 56 51.7812 48.0938\n",
"Q58.0156 40.1875 58.0156 27.2969\n",
"Q58.0156 14.4062 51.7812 6.48438\n",
"Q45.5625 -1.42188 35.5938 -1.42188\n",
"Q29.5938 -1.42188 25.2656 0.953125\n",
"Q20.9531 3.32812 18.1094 8.20312\n",
"L18.1094 0\n",
"L9.07812 0\n",
"L9.07812 75.9844\n",
"L18.1094 75.9844\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-62\"/>\n",
" <path d=\"\n",
"M54.8906 33.0156\n",
"L54.8906 0\n",
"L45.9062 0\n",
"L45.9062 32.7188\n",
"Q45.9062 40.4844 42.875 44.3281\n",
"Q39.8438 48.1875 33.7969 48.1875\n",
"Q26.5156 48.1875 22.3125 43.5469\n",
"Q18.1094 38.9219 18.1094 30.9062\n",
"L18.1094 0\n",
"L9.07812 0\n",
"L9.07812 54.6875\n",
"L18.1094 54.6875\n",
"L18.1094 46.1875\n",
"Q21.3438 51.125 25.7031 53.5625\n",
"Q30.0781 56 35.7969 56\n",
"Q45.2188 56 50.0469 50.1719\n",
"Q54.8906 44.3438 54.8906 33.0156\" id=\"BitstreamVeraSans-Roman-6e\"/>\n",
" <path d=\"\n",
"M30.6094 48.3906\n",
"Q23.3906 48.3906 19.1875 42.75\n",
"Q14.9844 37.1094 14.9844 27.2969\n",
"Q14.9844 17.4844 19.1562 11.8438\n",
"Q23.3438 6.20312 30.6094 6.20312\n",
"Q37.7969 6.20312 41.9844 11.8594\n",
"Q46.1875 17.5312 46.1875 27.2969\n",
"Q46.1875 37.0156 41.9844 42.7031\n",
"Q37.7969 48.3906 30.6094 48.3906\n",
"M30.6094 56\n",
"Q42.3281 56 49.0156 48.375\n",
"Q55.7188 40.7656 55.7188 27.2969\n",
"Q55.7188 13.875 49.0156 6.21875\n",
"Q42.3281 -1.42188 30.6094 -1.42188\n",
"Q18.8438 -1.42188 12.1719 6.21875\n",
"Q5.51562 13.875 5.51562 27.2969\n",
"Q5.51562 40.7656 12.1719 48.375\n",
"Q18.8438 56 30.6094 56\" id=\"BitstreamVeraSans-Roman-6f\"/>\n",
" <path d=\"\n",
"M9.42188 75.9844\n",
"L18.4062 75.9844\n",
"L18.4062 0\n",
"L9.42188 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-6c\"/>\n",
" <path d=\"\n",
"M-0.296875 72.9062\n",
"L61.375 72.9062\n",
"L61.375 64.5938\n",
"L35.5 64.5938\n",
"L35.5 0\n",
"L25.5938 0\n",
"L25.5938 64.5938\n",
"L-0.296875 64.5938\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-54\"/>\n",
" <path d=\"\n",
"M2.98438 54.6875\n",
"L12.5 54.6875\n",
"L29.5938 8.79688\n",
"L46.6875 54.6875\n",
"L56.2031 54.6875\n",
"L35.6875 0\n",
"L23.4844 0\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-76\"/>\n",
" <path d=\"\n",
"M18.3125 70.2188\n",
"L18.3125 54.6875\n",
"L36.8125 54.6875\n",
"L36.8125 47.7031\n",
"L18.3125 47.7031\n",
"L18.3125 18.0156\n",
"Q18.3125 11.3281 20.1406 9.42188\n",
"Q21.9688 7.51562 27.5938 7.51562\n",
"L36.8125 7.51562\n",
"L36.8125 0\n",
"L27.5938 0\n",
"Q17.1875 0 13.2344 3.875\n",
"Q9.28125 7.76562 9.28125 18.0156\n",
"L9.28125 47.7031\n",
"L2.6875 47.7031\n",
"L2.6875 54.6875\n",
"L9.28125 54.6875\n",
"L9.28125 70.2188\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-74\"/>\n",
" <path d=\"\n",
"M8.5 21.5781\n",
"L8.5 54.6875\n",
"L17.4844 54.6875\n",
"L17.4844 21.9219\n",
"Q17.4844 14.1562 20.5 10.2656\n",
"Q23.5312 6.39062 29.5938 6.39062\n",
"Q36.8594 6.39062 41.0781 11.0312\n",
"Q45.3125 15.6719 45.3125 23.6875\n",
"L45.3125 54.6875\n",
"L54.2969 54.6875\n",
"L54.2969 0\n",
"L45.3125 0\n",
"L45.3125 8.40625\n",
"Q42.0469 3.42188 37.7188 1\n",
"Q33.4062 -1.42188 27.6875 -1.42188\n",
"Q18.2656 -1.42188 13.375 4.4375\n",
"Q8.5 10.2969 8.5 21.5781\" id=\"BitstreamVeraSans-Roman-75\"/>\n",
" <path d=\"\n",
"M41.1094 46.2969\n",
"Q39.5938 47.1719 37.8125 47.5781\n",
"Q36.0312 48 33.8906 48\n",
"Q26.2656 48 22.1875 43.0469\n",
"Q18.1094 38.0938 18.1094 28.8125\n",
"L18.1094 0\n",
"L9.07812 0\n",
"L9.07812 54.6875\n",
"L18.1094 54.6875\n",
"L18.1094 46.1875\n",
"Q20.9531 51.1719 25.4844 53.5781\n",
"Q30.0312 56 36.5312 56\n",
"Q37.4531 56 38.5781 55.875\n",
"Q39.7031 55.7656 41.0625 55.5156\n",
"z\n",
"\" id=\"BitstreamVeraSans-Roman-72\"/>\n",
" <path d=\"\n",
"M44.2812 53.0781\n",
"L44.2812 44.5781\n",
"Q40.4844 46.5312 36.375 47.5\n",
"Q32.2812 48.4844 27.875 48.4844\n",
"Q21.1875 48.4844 17.8438 46.4375\n",
"Q14.5 44.3906 14.5 40.2812\n",
"Q14.5 37.1562 16.8906 35.375\n",
"Q19.2812 33.5938 26.5156 31.9844\n",
"L29.5938 31.2969\n",
"Q39.1562 29.25 43.1875 25.5156\n",
"Q47.2188 21.7812 47.2188 15.0938\n",
"Q47.2188 7.46875 41.1875 3.01562\n",
"Q35.1562 -1.42188 24.6094 -1.42188\n",
"Q20.2188 -1.42188 15.4531 -0.5625\n",
"Q10.6875 0.296875 5.42188 2\n",
"L5.42188 11.2812\n",
"Q10.4062 8.6875 15.2344 7.39062\n",
"Q20.0625 6.10938 24.8125 6.10938\n",
"Q31.1562 6.10938 34.5625 8.28125\n",
"Q37.9844 10.4531 37.9844 14.4062\n",
"Q37.9844 18.0625 35.5156 20.0156\n",
"Q33.0625 21.9688 24.7031 23.7812\n",
"L21.5781 24.5156\n",
"Q13.2344 26.2656 9.51562 29.9062\n",
"Q5.8125 33.5469 5.8125 39.8906\n",
"Q5.8125 47.6094 11.2812 51.7969\n",
"Q16.75 56 26.8125 56\n",
"Q31.7812 56 36.1719 55.2656\n",
"Q40.5781 54.5469 44.2812 53.0781\" id=\"BitstreamVeraSans-Roman-73\"/>\n",
" <path d=\"\n",
"M18.1094 8.20312\n",
"L18.1094 -20.7969\n",
"L9.07812 -20.7969\n",
"L9.07812 54.6875\n",
"L18.1094 54.6875\n",
"L18.1094 46.3906\n",
"Q20.9531 51.2656 25.2656 53.625\n",
"Q29.5938 56 35.5938 56\n",
"Q45.5625 56 51.7812 48.0938\n",
"Q58.0156 40.1875 58.0156 27.2969\n",
"Q58.0156 14.4062 51.7812 6.48438\n",
"Q45.5625 -1.42188 35.5938 -1.42188\n",
"Q29.5938 -1.42188 25.2656 0.953125\n",
"Q20.9531 3.32812 18.1094 8.20312\n",
"M48.6875 27.2969\n",
"Q48.6875 37.2031 44.6094 42.8438\n",
"Q40.5312 48.4844 33.4062 48.4844\n",
"Q26.2656 48.4844 22.1875 42.8438\n",
"Q18.1094 37.2031 18.1094 27.2969\n",
"Q18.1094 17.3906 22.1875 11.75\n",
"Q26.2656 6.10938 33.4062 6.10938\n",
"Q40.5312 6.10938 44.6094 11.75\n",
"Q48.6875 17.3906 48.6875 27.2969\" id=\"BitstreamVeraSans-Roman-70\"/>\n",
" </defs>\n",
" <g transform=\"translate(78.105375 18.14175)scale(0.144 -0.144)\">\n",
" <use xlink:href=\"#BitstreamVeraSans-Roman-53\"/>\n",
" <use x=\"63.4765625\" xlink:href=\"#BitstreamVeraSans-Roman-6f\"/>\n",
" <use x=\"124.658203125\" xlink:href=\"#BitstreamVeraSans-Roman-66\"/>\n",
" <use x=\"158.11328125\" xlink:href=\"#BitstreamVeraSans-Roman-74\"/>\n",
" <use x=\"197.322265625\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"229.109375\" xlink:href=\"#BitstreamVeraSans-Roman-61\"/>\n",
" <use x=\"290.388671875\" xlink:href=\"#BitstreamVeraSans-Roman-76\"/>\n",
" <use x=\"349.568359375\" xlink:href=\"#BitstreamVeraSans-Roman-67\"/>\n",
" <use x=\"413.044921875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"444.83203125\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"476.619140625\" xlink:href=\"#BitstreamVeraSans-Roman-28\"/>\n",
" <use x=\"515.6328125\" xlink:href=\"#BitstreamVeraSans-Roman-72\"/>\n",
" <use x=\"554.49609375\" xlink:href=\"#BitstreamVeraSans-Roman-65\"/>\n",
" <use x=\"616.01953125\" xlink:href=\"#BitstreamVeraSans-Roman-64\"/>\n",
" <use x=\"679.49609375\" xlink:href=\"#BitstreamVeraSans-Roman-29\"/>\n",
" <use x=\"718.509765625\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"750.296875\" xlink:href=\"#BitstreamVeraSans-Roman-76\"/>\n",
" <use x=\"809.4765625\" xlink:href=\"#BitstreamVeraSans-Roman-73\"/>\n",
" <use x=\"861.576171875\" xlink:href=\"#BitstreamVeraSans-Roman-2e\"/>\n",
" <use x=\"893.36328125\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"925.150390625\" xlink:href=\"#BitstreamVeraSans-Roman-54\"/>\n",
" <use x=\"986.234375\" xlink:href=\"#BitstreamVeraSans-Roman-68\"/>\n",
" <use x=\"1049.61328125\" xlink:href=\"#BitstreamVeraSans-Roman-72\"/>\n",
" <use x=\"1088.4765625\" xlink:href=\"#BitstreamVeraSans-Roman-65\"/>\n",
" <use x=\"1150.0\" xlink:href=\"#BitstreamVeraSans-Roman-73\"/>\n",
" <use x=\"1202.09960938\" xlink:href=\"#BitstreamVeraSans-Roman-68\"/>\n",
" <use x=\"1265.47851562\" xlink:href=\"#BitstreamVeraSans-Roman-6f\"/>\n",
" <use x=\"1326.66015625\" xlink:href=\"#BitstreamVeraSans-Roman-6c\"/>\n",
" <use x=\"1354.44335938\" xlink:href=\"#BitstreamVeraSans-Roman-64\"/>\n",
" <use x=\"1417.91992188\" xlink:href=\"#BitstreamVeraSans-Roman-69\"/>\n",
" <use x=\"1445.703125\" xlink:href=\"#BitstreamVeraSans-Roman-6e\"/>\n",
" <use x=\"1509.08203125\" xlink:href=\"#BitstreamVeraSans-Roman-67\"/>\n",
" <use x=\"1572.55859375\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"1604.34570312\" xlink:href=\"#BitstreamVeraSans-Roman-28\"/>\n",
" <use x=\"1643.359375\" xlink:href=\"#BitstreamVeraSans-Roman-62\"/>\n",
" <use x=\"1706.8359375\" xlink:href=\"#BitstreamVeraSans-Roman-6c\"/>\n",
" <use x=\"1734.61914062\" xlink:href=\"#BitstreamVeraSans-Roman-75\"/>\n",
" <use x=\"1797.99804688\" xlink:href=\"#BitstreamVeraSans-Roman-65\"/>\n",
" <use x=\"1859.52148438\" xlink:href=\"#BitstreamVeraSans-Roman-29\"/>\n",
" <use x=\"1898.53515625\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"1930.32226562\" xlink:href=\"#BitstreamVeraSans-Roman-40\"/>\n",
" <use x=\"2030.32226562\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"2062.109375\" xlink:href=\"#BitstreamVeraSans-Roman-31\"/>\n",
" <use x=\"2125.73242188\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"2189.35546875\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"2252.97851562\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"2316.6015625\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"2380.22460938\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"2412.01171875\" xlink:href=\"#BitstreamVeraSans-Roman-72\"/>\n",
" <use x=\"2450.875\" xlink:href=\"#BitstreamVeraSans-Roman-65\"/>\n",
" <use x=\"2512.3984375\" xlink:href=\"#BitstreamVeraSans-Roman-70\"/>\n",
" <use x=\"2575.875\" xlink:href=\"#BitstreamVeraSans-Roman-73\"/>\n",
" <use x=\"2627.97460938\" xlink:href=\"#BitstreamVeraSans-Roman-20\"/>\n",
" <use x=\"2659.76171875\" xlink:href=\"#BitstreamVeraSans-Roman-28\"/>\n",
" <use x=\"2698.77539062\" xlink:href=\"#BitstreamVeraSans-Roman-7a\"/>\n",
" <use x=\"2751.265625\" xlink:href=\"#BitstreamVeraSans-Roman-3d\"/>\n",
" <use x=\"2835.0546875\" xlink:href=\"#BitstreamVeraSans-Roman-30\"/>\n",
" <use x=\"2898.67773438\" xlink:href=\"#BitstreamVeraSans-Roman-29\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <defs>\n",
" <clipPath id=\"pb1fd7b6f9c\">\n",
" <rect height=\"345.6\" width=\"446.4\" x=\"65.80125\" y=\"23.14175\"/>\n",
" </clipPath>\n",
" </defs>\n",
"</svg>\n"
],
"text": [
"Figure(PyObject <matplotlib.figure.Figure object at 0x149d75d90>)"
]
}
],
"prompt_number": 101
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": []
}
],
"metadata": {}
}
]
}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment