Thomas Holton

Digital Signal Processing

Principles and Applications

• Gebundenes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 1058
• Erscheinungstermin: 18. Februar 2021
• Englisch
• Abmessung: 248mm x 197mm x 48mm
• Gewicht: 2170g
• ISBN-13: 9781108418447
• ISBN-10: 1108418449
• Artikelnr.: 60549803

Autorenporträt

Thomas Holton is Professor of Electrical and Computer Engineering at San Francisco State University with interests in speech and audio processing.

Inhaltsangabe

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.

Rezensionen

'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