Think DSP

Digital Signal Processing in Python

Nonfiction, Science & Nature, Technology, Engineering, Computers, General Computing, Programming
Cover of the book Think DSP by Allen B. Downey, O'Reilly Media
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Author: Allen B. Downey ISBN: 9781491938515
Publisher: O'Reilly Media Publication: July 12, 2016
Imprint: O'Reilly Media Language: English
Author: Allen B. Downey
ISBN: 9781491938515
Publisher: O'Reilly Media
Publication: July 12, 2016
Imprint: O'Reilly Media
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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:

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

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