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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.
Zakup książki
Digital Signal Processing, Thomas Holton
- Język
- Rok wydania
- 2021
- Oprawa
- (twarda)
Metody płatności
Nikt jeszcze nie ocenił.
- Tytuł
- Digital Signal Processing
- Podtytuł
- Principles and Applications
- Język
- angielski
- Autorzy
- Thomas Holton
- Wydawca
- Cambridge University Press
- Rok wydania
- 2021
- Oprawa
- twarda
- Liczba stron
- 1000
- ISBN10
- 1108418449
- ISBN13
- 9781108418447
- Seria
- Kategorie
- Tagi
- Podręczniki, Inżynieria
- Opis
- 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.



