December 2017
Intermediate to advanced
386 pages
10h 42m
English
Content preview from SciPy Recipes
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How to do it…
- A filter is an operation on signals that either removes features or extracts some component. SciPy has a complete set of known filters as well as the tools to allow the construction of new ones.
- The complete list of filters in SciPy is long and we encourage the reader to explore the help documents of the scipy.signal and scipy.ndimage modules for the complete picture.
- We will introduce in these pages, as an exposition, some of the most used filters in the treatment of audio or image processing.
- We start by creating a signal worth filtering:
from numpy import sin, cos, pi, linspacef=lambda t: cos(pi*t) + 0.2*sin(5*pi*t+0.1) + 0.2*sin(30*pi*t) + 0.1*sin(32*pi*t+0.1) + 0.1*sin(47* pi*t+0.8)t=linspace(0,4,400); signal=f(t)
First, ...
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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.