Digital signal processing : principles and applications / Thomas Holton, San Francisco State University.
Material type:
TextDescription: pages cmISBN: 9781108418447Subject(s): Signal processing -- Digital techniquesAdditional physical formats: Online version:: Digital signal processingDDC classification: 621.382/2 LOC classification: TK 5102.9 .H67 2020Summary: "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"--
| Item type | Current library | Call number | Status | Date due | Barcode |
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Hard Covered Materials
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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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