Think DSP
Digital Signal Processing in Python
Book Details
| Author | Allen Downey |
| Publisher | O'Reilly Media, Green Tea Press |
| Published | 2016 |
| Edition | 1 |
| Paperback | 157 pages |
| Language | English |
| ISBN-13 | 9781491938522, 9781491938454 |
| ISBN-10 | 1491938528, 1491938455 |
| License | Creative Commons Attribution-NonCommercial |
Book Description
If you understand basic mathematics and know how to program with Python, you're ready to dive into signal processing. While most resources start with theory to teach this complex subject, this practical book introduces techniques by showing you how they're applied in the real world. In the first chapter alone, you'll be able to decompose a sound into its harmonics, modify the harmonics, and generate new sounds.
Author Allen Downey explains techniques such as spectral decomposition, filtering, convolution, and the Fast Fourier Transform. This book also provides exercises and code examples to help you understand the material.
You'll explore: Periodic signals and their spectrums; Harmonic structure of simple waveforms; Chirps and other sounds whose spectrum changes over time; Noise signals and natural sources of noise; The autocorrelation function for estimating pitch; The discrete cosine transform (DCT) for compression; The Fast Fourier Transform for spectral analysis; Relating operations in time to filters in the frequency domain; Linear time-invariant (LTI) system theory; Amplitude modulation (AM) used in radio.
This book is available under a Creative Commons Attribution-NonCommercial license (CC BY-NC), which means that you are free to copy, distribute, and modify it, as long as you attribute the source and don't use it for commercial purposes.
If you enjoyed the book and would like to support the author, you can purchase a printed copy (hardcover or paperback) from official retailers.
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