Digital Signal Processing
Principles and Applications

A comprehensive and mathematically accessible introduction to digital signal processing, covering theory, advanced topics, and applications.

Thomas Holton (Author)

9781108418447, Cambridge University Press

Hardback, published 18 February 2021

1058 pages
25.2 x 19.6 x 4.6 cm, 2.17 kg

'The Holton text includes technical materials that a practicing engineer needs to know to prototype a fixed-coefficient DSP system architecture using Matlab. There are many unique features of this textbook, including a full chapter on visualizing frequency response from pole-zero plots, multi-color plots for better comprehension, rigorous derivation of all formulas, and up-to-date hardware- and software-based implementation ideas for the benefit of novice and practicing engineers. I strongly recommend its adoption.' Kalyan Mondal, Fairleigh Dickinson University

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

Preface
1. Signals and systems
2. Impulse response
3. Discrete-time Fourier transform
4. z-transform
5. Frequency response
6. A/D and D/A conversion
7. Finite impulse response systems
8. Infinite impulse response systems
9. Filter architecture
10. Discrete Fourier transform
11. Fast Fourier transform
12. Discrete cosine transform
13. Multirate and multistage systems
14. Spectral analysis
Appendices
Index.

Subject Areas: Signal processing [UYS], Computer networking & communications [UT], Communications engineering / telecommunications [TJK], Information theory [GPF]