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Think DSP : Digital processing in Python / Allen B. Downey

By: Material type: TextTextPublication details: Beijing, China : O'Reilly Media, Incorporated, c2016Description: xii, 152 pages : illustrations ; 24 cmISBN:
  • 9781491938454
Subject(s): LOC classification:
  • TK 5102.9 .D69 2016
Contents:
1 Sounds and signals -- 2 Harmonics -- 3 Non-periodic signals -- 4 Noise -- 5 Autocorrelation -- 6 Discrete Cosine Transform -- 7 Discrete Fourier Transform -- 8 Filtering and Convolution -- 9 Differentiation and Integration -- 10 LTI systems -- 11 Modulation and sampling
Summary: Think DSP is an introduction to Digital Signal Processing in Python. The premise of this book (and the other books in the Think X series) is that if you know how to program, you can use that skill to learn other things. The author is writing this book because he thinks the conventional approach to digital signal processing is backward: most books (and the classes that use them) present the material bottom-up, starting with mathematical abstractions like phasors.
Item type: Books
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Holdings
Item type Current library Home library Collection Call number Copy number Status Date due Barcode
Books Books National University - Manila LRC - Main General Circulation Computer Science GC TK 5102.9 .D69 2016 (Browse shelf(Opens below)) c.1 Available NULIB000014174

Includes index.

1 Sounds and signals -- 2 Harmonics -- 3 Non-periodic signals -- 4 Noise -- 5 Autocorrelation -- 6 Discrete Cosine Transform -- 7 Discrete Fourier Transform -- 8 Filtering and Convolution -- 9 Differentiation and Integration -- 10 LTI systems -- 11 Modulation and sampling

Think DSP is an introduction to Digital Signal Processing in Python. The premise of this book (and the other books in the Think X series) is that if you know how to program, you can use that skill to learn other things. The author is writing this book because he thinks the conventional approach to digital signal processing is backward: most books (and the classes that use them) present the material bottom-up, starting with mathematical abstractions like phasors.

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