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.
Book purchase
Digital Signal Processing, Thomas Holton
- Language
- Released
- 2021
- product-detail.submit-box.info.binding
- (Hardcover),
- Book condition
- Good
- Price
- €83.99
Payment methods
No one has rated yet.
- Title
- Digital Signal Processing
- Subtitle
- Principles and Applications
- Language
- English
- Authors
- Thomas Holton
- Publisher
- Cambridge University Press
- 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.



