A collection of sloppy snippets for scientific computing and data visualization in Python.
Showing posts with label
signal
.
Show all posts
Showing posts with label
signal
.
Show all posts
Sunday, February 5, 2012
Convolution with numpy
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A convolution is a way to combine two sequences, x and w, to get a third sequence, y, that is a filtered version of x. The convolution of th...
7 comments:
Thursday, September 22, 2011
The sampling theorem explained with numpy
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The sampling theorem states that a continuous signal x(t) bandlimited to B Hz can be recovered from its samples x[n] = x(n*T), where n is an...
6 comments:
Wednesday, August 3, 2011
How to plot the frequency spectrum with scipy
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Spectrum analysis is the process of determining the frequency domain representation of a time domain signal and most commonly employs the Fo...
39 comments:
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