Think DSP: Digital Signal Processing in Python

Downey, Allen

ISBN 10: 1491938455 / ISBN 13: 9781491938454

Edité par O'Reilly Media, 2016

The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. N° de réf. du vendeur GOR009496255

Synopsis :

If you understand basic mathematics and know how to program with Python, youâ 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 theyâ re applied in the real world. In the first chapter alone, youâ 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.

Youâ 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.

À propos de l?auteur:

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.

Détails bibliographiques

Titre : Think DSP: Digital Signal Processing in ...
Éditeur : O'Reilly Media
Date d'édition : 2016
Reliure : Paperback
Etat : Very Good