Think DSP

Digital Signal Processing in Python

by Allen Downey

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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 open book is licensed under a Creative Commons License (CC BY-NC). You can download Think DSP ebook for free in PDF format (4.5 MB).

Table of Contents

Chapter 1
Sounds and Signals
1
Chapter 2
Harmonics
13
Chapter 3
NonPeriodic Signals
25
Chapter 4
Noise
39
Chapter 5
Autocorrelation
53
Chapter 6
Discrete Cosine Transform
65
Chapter 7
Discrete Fourier Transform
77
Chapter 8
Filtering and Convolution
91
Chapter 9
Differentiation and Integration
105
Chapter 10
LTI Systems
119
Chapter 11
Modulation and Sampling
133
Index
 
149

Book Details

Subject
Computer Science
Publisher
O'Reilly Media, Green Tea Press
Published
2016
Pages
157
Edition
1
Language
English
ISBN13
9781491938522
ISBN10
1491938528
ISBN13 Digital
9781491938454
ISBN10 Digital
1491938455
PDF Size
4.5 MB
License
CC BY-NC

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