December 2017
Intermediate to advanced
386 pages
10h 42m
English
Content preview from SciPy Recipes
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How it works…
from scipy.signal import wiener, medfiltimport matplotlib.pylab as pltplt.plot(t,signal,'k', label='The signal')plt.plot(t,wiener(signal,mysize=55),'r',linewidth=3, label='Wiener filtered')plt.plot(t,medfilt(signal,kernel_size=55),'b',linewidth=3, label='Medfilt filtered')plt.legend()plt.show()
This gives us the following graph showing the comparison of smoothing filters (Wiener, in red, is the one that has its starting point just above 0.5 and Medfilt, in blue, has its starting point just below 0.5):
Most of the filters in the scipy.signal module can be adapted to work with arrays of any dimension. In the particular case of ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.