Think DSP

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

Other books in this series include Think Stats and Think Bayes , also by Allen Downey.