The free version of Modelsim is a 32-bit binary and therefore requires certain 32-bit libraries in order to work correctly. For Ubunutu, install the following packages
sudo dpkg --add-architecture i386
sudo apt-get update
sudo apt-get install libc6:i386 libncurses5:i386 libstdc++6:i386 lib32ncurses6 libxft2 libxft2:i386 libxext6 libxext6:i386
| # Written by Brendan O'Connor, brenocon@gmail.com, www.anyall.org | |
| # * Originally written Aug. 2005 | |
| # * Posted to gist.github.com/16173 on Oct. 2008 | |
| # Copyright (c) 2003-2006 Open Source Applications Foundation | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # |
| function [maxtab, mintab]=peakdet(v, delta, x) | |
| %PEAKDET Detect peaks in a vector | |
| % [MAXTAB, MINTAB] = PEAKDET(V, DELTA) finds the local | |
| % maxima and minima ("peaks") in the vector V. | |
| % MAXTAB and MINTAB consists of two columns. Column 1 | |
| % contains indices in V, and column 2 the found values. | |
| % | |
| % With [MAXTAB, MINTAB] = PEAKDET(V, DELTA, X) the indices | |
| % in MAXTAB and MINTAB are replaced with the corresponding | |
| % X-values. |
| import numpy as np | |
| from math import pi, log | |
| import pylab | |
| from scipy import fft, ifft | |
| from scipy.optimize import curve_fit | |
| i = 10000 | |
| x = np.linspace(0, 3.5 * pi, i) | |
| y = (0.3*np.sin(x) + np.sin(1.3 * x) + 0.9 * np.sin(4.2 * x) + 0.06 * | |
| np.random.randn(i)) |