A collection of sloppy snippets for scientific computing and data visualization in Python.
Thursday, September 22, 2011
The sampling theorem explained with numpy
›
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, September 14, 2011
Uncertainty principle and spectrogram with pylab
›
The Fourier transform does not give any information on the time at which a frequency component occurs. One approach which can give informati...
10 comments:
Thursday, September 8, 2011
Sound Synthesis
›
Physically, sound is an oscillation of a mechanical medium that makes the surrounding air also oscillate and transport the sound as a compre...
10 comments:
‹
›
Home
View web version