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.
NumPy: Beginner's Guide
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NumPy: Beginner's Guide
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Overview of this book
Table of Contents (21 chapters)
NumPy Beginner's Guide Third Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
NumPy Quick Start
Beginning with NumPy Fundamentals
Getting Familiar with Commonly Used Functions
Convenience Functions for Your Convenience
Working with Matrices and ufuncs
Moving Further with NumPy Modules
Peeking into Special Routines
Assuring Quality with Testing
Plotting with matplotlib
When NumPy Is Not Enough – SciPy and Beyond
Playing with Pygame
Pop Quiz Answers
Additional Online Resources
NumPy Functions' References
Index
Customer Reviews