Think DSP: Digital Signal Processing in Python

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Allen Downey, Franklin W. Olin College of Engineering

Pub Date: 2012

ISBN 13: 978-1-4919384-5-4

Publisher: Green Tea Press

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CC BY-NC

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Table of Contents

Preface
1 Sounds and signals
2 Harmonics
3 Non-periodic signals
4 Noise
5 Autocorrelation
6 Discrete Cosine Transform
7 Discrete Fourier Transform
8 Filtering and Convolution
9 Differentiation and Integration
10 LTI systems
11 Modulation and sampling

About the Book

Think DSP is an introduction to Digital Signal Processing in Python.

The premise of this book (and the other books in the Think X series) is that if you know how to program, you can use that skill to learn other things. The author is writing this book because he thinks the conventional approach to digital signal processing is backward: most books (and the classes that use them) present the material bottom-up, starting with mathematical abstractions like phasors.

About the Contributors

Author(s)

Allen B. Downey is an American computer scientist, Professor of Computer Science at the Franklin W. Olin College of Engineering and writer of free textbooks.


Downey received in 1989 his BS and in 1990 his MA, both in Civil Engineering from the Massachusetts Institute of Technology, and his PhD in Computer Science from the University of California at Berkeley in 1997.


He started his career as Research Fellow in the San Diego Supercomputer Center in 1995. In 1997 he became Assistant Professor of Computer Science at Colby College, and in 2000 at Wellesley College. He was Research Fellow at Boston University in 2002 and Professor of Computer Science at the Franklin W. Olin College of Engineering since 2003. In 2009-2010 he was also Visiting Scientist at Google Inc.