Digital signal processing /
Andreas Antoniou.
- xxiv, 965 pages : illustrations ; 25 cm
Includes bibliographical references and index.
Introduction to digital signal processing -- The Fourier series and Fourier transform -- The z transform -- Discrete-time systems -- The application of the z transform -- The sampling process -- The discrete Fourier transform -- Realization of digital filters -- Design of nonrecursive (FIR) filters -- Approximations for analog filters -- Design of recursive (IIR) filters -- Recursive (IIR) filters satisfying prescribed specifications -- Random signals -- Effects of finite word length in digital filters -- Design of nonrecursive filters using optimization methods -- Design of recursive filters using optimization methods -- Wave digital filters -- Digital signal processing applications -- Complex analysis -- Elliptic functions. Ch. 1. Ch. 2. Ch. 3. Ch. 4. Ch. 5. Ch. 6. Ch. 7. Ch. 8. Ch. 9. Ch. 10. Ch. 11. Ch. 12. Ch. 13. Ch. 14. Ch. 15. Ch. 16. Ch. 17. Ch. 18. App. A. App. B.
"With a strong focus on basic principles and applications, this thoroughly up-to-date text provides a solid foundation in the concepts, methods, and algorithms of digital signal processing. Key topics such as spectral analysis, discrete-time systems, the sampling process, and digital filter design are all covered in well-illustrated detail." "Filled with examples and problems that can be worked in MATLAB or the author's DSP software, D-Filter, Digital Signal Processing offers a fully interactive approach to successfully mastering DSP." "Accessible and comprehensive, this resource covers the essentials of DSP theory and practice."--BOOK JACKET.