Think DSP

Download free course Think DSP, pdf file on 157 pages by Allen Downey.

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.


Table of contents

  • Sounds and Signals
  • Harmonics
  • NonPeriodic Signals
  • Noise
  • Autocorrelation
  • Discrete Cosine Transform
  • Discrete Fourier Transform
  • Filtering and Convolution
  • Differentiation and Integration
  • LTI Systems
  • Modulation and Sampling
  •  
Pages : 157
Size : 4.5 MB
File type : PDF
Downloads: 71
Created: 2022-02-03
License: CC BY-NC
Author(s): Allen Downey
Think DSP

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