Digital signal processing / Andreas Antoniou.
Material type: TextPublisher: New York : McGraw-Hill, [2006]Copyright date: ©2006Description: xxiv, 965 pages : illustrations ; 25 cmContent type:- text
- unmediated
- volume
- 007145425X
- 9780071454254
- 0071454241
- 9780071454247
- 621.3822 22
- TK5102.9 .A58 2006
Item type | Current library | Call number | Copy number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|
Book | City Campus City Campus Main Collection | 621.3822 ANT (Browse shelf(Opens below)) | 1 | Available | A267827B |
Browsing City Campus shelves, Shelving location: City Campus Main Collection Close shelf browser (Hides shelf browser)
621.3821 GIS Zigbee wireless networking / | 621.3821 PRA From WPANs to personal networks : technologies and applications / | 621.3821 SEN Sensor networks : where theory meets practice / | 621.3822 ANT Digital signal processing / | 621.3822 BUR Modulation and coding : for wireless communications / | 621.3822 CAV Digital signal processing / | 621.3822 CHA DSP applications using C and the TMS320C6x DSK / |
Includes bibliographical references and index.
Ch. 1. Introduction to digital signal processing -- Ch. 2. The Fourier series and Fourier transform -- Ch. 3. The z transform -- Ch. 4. Discrete-time systems -- Ch. 5. The application of the z transform -- Ch. 6. The sampling process -- Ch. 7. The discrete Fourier transform -- Ch. 8. Realization of digital filters -- Ch. 9. Design of nonrecursive (FIR) filters -- Ch. 10. Approximations for analog filters -- Ch. 11. Design of recursive (IIR) filters -- Ch. 12. Recursive (IIR) filters satisfying prescribed specifications -- Ch. 13. Random signals -- Ch. 14. Effects of finite word length in digital filters -- Ch. 15. Design of nonrecursive filters using optimization methods -- Ch. 16. Design of recursive filters using optimization methods -- Ch. 17. Wave digital filters -- Ch. 18. Digital signal processing applications -- App. A. Complex analysis -- App. B. Elliptic functions.
"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.
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