Digital Signal Processing
Principles and Applications
Seiten
2021
Cambridge University Press (Verlag)
978-1-108-41844-7 (ISBN)
Cambridge University Press (Verlag)
978-1-108-41844-7 (ISBN)
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® 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.
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.
Thomas Holton is Professor of Electrical and Computer Engineering at San Francisco State University with interests in speech and audio 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.
| Erscheinungsdatum | 18.08.2020 |
|---|---|
| Zusatzinfo | Worked examples or Exercises |
| Verlagsort | Cambridge |
| Sprache | englisch |
| Maße | 196 x 252 mm |
| Gewicht | 2170 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
| Technik ► Nachrichtentechnik | |
| ISBN-10 | 1-108-41844-9 / 1108418449 |
| ISBN-13 | 978-1-108-41844-7 / 9781108418447 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
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