I can't find any online OCRed copy of this content, so I'm transcribing a bunch of stuff.
Citation:
Actually this contains three previous unpublished papers, which is why it's sometimes listed as "1977". Example citations for the individual papers:
| """ | |
| Created on Wed Nov 04 11:34:53 2015 | |
| """ | |
| from numpy import logspace, log10, sqrt, pi | |
| import matplotlib.pyplot as plt | |
| from audio_electronics_shortcuts import dB | |
| import pint | |
| u = pint.UnitRegistry() |
Dependencies
sudo apt install poppler-utils imagemagick
To extract all the images:
for file in **.pdf
pdfimages -all "$file" "$file"
end
| Version 4 | |
| SHEET 1 880 680 | |
| FLAG 64 144 0 | |
| FLAG 64 64 signal | |
| IOPIN 64 64 Out | |
| SYMBOL voltage 64 48 R0 | |
| WINDOW 123 0 0 Left 0 | |
| WINDOW 39 0 0 Left 0 | |
| SYMATTR InstName V1 | |
| SYMATTR Value SINE(0 1 2000) |
----------| hyphens
++++++++++| plus
−−−−−−−−−−| minus
| space
| figure space
| en space
| em space
WAV files can store PCM audio (WAVE_FORMAT_PCM). The WAV file format specification says:
The data format and maximum and minimums values for PCM waveform samples of various sizes are as follows:
Sample Size Data Format Maximum Value Minimum Value One to eight bits Unsigned integer 255 (0xFF) 0 Nine or more bits Signed integer i Largest positive value of i Most negative value of i
| ID | Name | Easting | Northing | In wild | Bolts | Target Class | Latitude | Longitude | |
|---|---|---|---|---|---|---|---|---|---|
| 402 | 41-Minute Dome | 582177 | 3769485 | yes | 0 | 3 | 34.0646353 | -116.1103329 | |
| 567 | Abbey Rock | 587885 | 3762572 | no | 34.0018313 | -116.0491799 | |||
| 15 | AFPA Rock | 574435 | 3766650 | no | 34.0396500 | -116.1944655 | |||
| 664 | Africa Face | 577147 | 3772947 | no | 34.0962388 | -116.1645301 | |||
| 709 | Afro Awareness Week | 577860 | 3771589 | yes | 0 | 3 | 34.0839397 | -116.1569227 | |
| 376 | Afro Blues Wall | 579567 | 3766028 | no | 34.0336627 | -116.1389294 | |||
| 447 | Agent Orange Rock | 579329 | 3761185 | yes | 7 | 2 | 33.9900073 | -116.1419470 | |
| 771 | Al's Crag | 576433 | 3770207 | 0 | 3 | 34.0715825 | -116.1725102 | ||
| 287 | Alice In Wonderland Area | 579307 | 3763657 | no | 34.0123011 | -116.1419609 |
| import numpy as np | |
| import pylab as pl | |
| from numpy import fft | |
| def fourierExtrapolation(x, n_predict): | |
| n = x.size | |
| n_harm = 10 # number of harmonics in model | |
| t = np.arange(0, n) | |
| p = np.polyfit(t, x, 1) # find linear trend in x |
| from pandas import read_csv | |
| import matplotlib.pyplot as plt | |
| import numpy as np | |
| filename = '20181113000029_wave.csv' | |
| offset = 0 # In samples, the point at which you want the plotting to start | |
| data = read_csv(filename) | |
| data = data[offset:] |