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Numpy Beginner's Guide (Update)
book

Numpy Beginner's Guide (Update)

by Ivan Idris
June 2015
Beginner
348 pages
8h 44m
English
Packt Publishing
Content preview from Numpy Beginner's Guide (Update)

Window functions

Window functions are mathematical functions commonly used in signal processing. Applications include spectral analysis and filter design. These functions are defined to be 0 outside a specified domain. NumPy has a number of window functions: bartlett(), blackman(), hamming(), hanning(), and kaiser(). You can find an example of the hanning() function in Chapter 4, Convenience Functions for Your Convenience, and Chapter 3, Getting Familiar with Commonly Used Functions.

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Publisher Resources

ISBN: 9781785281969