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Digital signal processing : principles and applications / Thomas Holton, San Francisco State University.

By: Material type: TextDescription: pages cmISBN:
  • 9781108418447
Subject(s): Additional physical formats: Online version:: Digital signal processingDDC classification:
  • 621.382/2 23
LOC classification:
  • TK 5102.9 .H67 2020
Summary: "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, and A/D conversion, as well as more advanced topics such as FIR and IIR filtering algorithms, 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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Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Hard Covered Materials MACHAKOS UNIVERSITY LIBRARY Open shelf TK 5102.9 .H67 2020 (Browse shelf(Opens below)) Available 40012

Includes bibliographical references.

"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, and A/D conversion, as well as more advanced topics such as FIR and IIR filtering algorithms, 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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