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

By: Downey, Allen B [author]Material type: Text

TextPublication details: Beijing : O'Reilly, c2016Description: xii, 152 pages : illustrations ; 24 cmISBN: 9781491938454Subject(s): OPEN TEXTBOOK | COMPUTER SCIENCE -- TEXTBOOKS | COMPUTER SCIENCELOC 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.

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Item type	Current library	Home library	Collection	Shelving location	Call number	Copy number	Status	Date due	Barcode
Books	LRC - Main	National University - Manila	Computer Science	General Circulation	GC TK 5102.9 .D69 2016 (Browse shelf (Opens below))	c.1	Available		NULIB000014174

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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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