Digital Signal Processing
Principles and Applications

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.

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