Think DSP Digital Signal Processing in Python

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 d...

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Bibliographic Details
Main Author: Downey, Allen B. (Author)
Format: Electronic eBook
Language:English
Published: [Place of publication not identified] Green Tea Press [2012]
Series:Open textbook library.
Subjects:
Online Access:Access online version
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264 1 |a [Place of publication not identified]  |b Green Tea Press  |c [2012] 
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505 0 |a Preface -- 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 
520 0 |a 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. 
542 1 |f Attribution-NonCommercial 
546 |a In English. 
588 0 |a Description based on print resource 
650 0 |a Computer Science  |v Textbooks 
710 2 |a Open Textbook Library  |e distributor 
856 4 0 |u https://open.umn.edu/opentextbooks/textbooks/290  |z Access online version