Reviews
'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, '... a student-friendly book, making learning DSP a fun journey.' Xiyi Hang, California State University, Northridge, '... an excellent textbook for undergraduate as well as graduate students. It is well written, very clearly defined and presents all DSP topics, using many examples including the use of Matlab ... Holton covers all necessary materials for a thorough understanding of DSP concepts and practical applications of a subject which is very mathematical ... It is without any reservations that I strongly endorse and recommend the DSP book by Professor Holton.' Mousavinezhad Hossein, Idaho State University, 'Professor Holton has done a great service to faculty who teach digital signal processing. The material is developed in a clear and thorough manner with an excellent range of topics, from elementary to advanced and from theoretical to applied. Many insightful analytical and computational examples and homework problems are included, with Matlab intelligently integrated. This textbook is the clear front-runner in a crowded field.' Howard Weinert, Johns Hopkins University
Synopsis
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., A comprehensive and mathematically accessible introduction to digital signal processing, with clear explanations of elementary principles, advanced topics, and applications. It features over 600 full-color figures, 200 worked examples, hundreds of end-of-chapter problems, and computational examples of DSP algorithms implemented in Matlab and C., 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(R) 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(R) laboratory exercises, making this the ideal text for senior undergraduate and graduate courses on digital signal processing., 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.