Think DSP: Digital Signal Processing in Python
"O'Reilly Media, Inc.", 2016. 7. 12. - 168페이지
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.
Other books in this series include Think Stats and Think Bayes, also by Allen Downey.
Chapter 1 Sounds and Signals
Chapter 2 Harmonics
Chapter 3 NonPeriodic Signals
Chapter 4 Noise
Chapter 5 Autocorrelation
Chapter 6 Discrete Cosine Transform
Chapter 7 Discrete Fourier Transform