Think DSP: Digital Signal Processing in Python - Softcover

Downey, Allen B.

 
9781491938454: Think DSP: Digital Signal Processing in Python
Softcover
ISBN 10: 1491938455 ISBN 13: 9781491938454
Verlag: O'Reilly UK Ltd., 2016

Inhaltsangabe

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.

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Über die Autorin bzw. den Autor

Allen Downey is a Professor of Computer Science at Olin College of Engineering. He has taught at Wellesley College, Colby College and U.C. Berkeley. He has a Ph.D. in Computer Science from U.C. Berkeley and Master's and Bachelor's degrees from MIT.

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Verlag
O'Reilly UK Ltd.
Erscheinungsdatum
2016
Sprache
Englisch
ISBN 10 
1491938455
ISBN 13 
9781491938454
Einband
Taschenbuch
Auflage
1
Anzahl der Seiten
168
Kontakt zum Hersteller
O'Reilly
https://oreilly.com

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9789352134458: Think DSP: Digital Signal Processing in Python

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