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Digital Signal Processing

Principles and Applications

Parameters

  • 1000 pages
  • 35 hours of reading

More about the book

Combining clear explanations of elementary principles, advanced topics, and applications, with step-by-step mathematical derivations, this textbook provides a comprehensive yet accessible introduction to digital signal processing. All the key topics are covered, including discrete-time Fourier transform, z-transform, discrete Fourier transform, A/D conversion, and FIR and IIR filtering algorithms, as well as more advanced topics such as multi-rate systems, the discrete cosine transform, and spectral signal processing. Over 600 full-color illustrations, 200 fully worked examples, hundreds of end-of-chapter homework problems, and detailed computational examples of DSP algorithms implemented in Matlab and C aid understanding, and help put knowledge into practice. A wealth of supplementary material accompanies the book online, including interactive programs for instructors, a full set of solutions, and Matlab laboratory exercises, making this the ideal text for senior undergraduate and graduate courses on digital signal processing.

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Digital Signal Processing, Thomas Holton

Language
Released
2021
product-detail.submit-box.info.binding
(Hardcover),
Book condition
Good
Price
€83.99

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Title
Digital Signal Processing
Subtitle
Principles and Applications
Language
English
Released
2021
Format
Hardcover
Pages
1000
ISBN10
1108418449
ISBN13
9781108418447
Series
Tags
Description
Combining clear explanations of elementary principles, advanced topics, and applications, with step-by-step mathematical derivations, this textbook provides a comprehensive yet accessible introduction to digital signal processing. All the key topics are covered, including discrete-time Fourier transform, z-transform, discrete Fourier transform, A/D conversion, and FIR and IIR filtering algorithms, as well as more advanced topics such as multi-rate systems, the discrete cosine transform, and spectral signal processing. Over 600 full-color illustrations, 200 fully worked examples, hundreds of end-of-chapter homework problems, and detailed computational examples of DSP algorithms implemented in Matlab and C aid understanding, and help put knowledge into practice. A wealth of supplementary material accompanies the book online, including interactive programs for instructors, a full set of solutions, and Matlab laboratory exercises, making this the ideal text for senior undergraduate and graduate courses on digital signal processing.