University of Kabianga
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Digital signal processing / John G. Proakis, Dimitris G. Manolakis.

By: Contributor(s): Material type: TextTextPublication details: Upper Saddle River, N.J. : Pearson Prentice Hall, c2007.Edition: 4th edDescription: xix, 1084 p. : ill. ; 24 cmISBN:
  • 9788131710005
Subject(s): DDC classification:
  • 621.382/2 22
LOC classification:
  • TK5102.9 .P757 2007
Contents:
1. Introduction -- 2. Discrete-time signals and systems -- 3. The z-transform and its application to the analysis of LTI systems -- 4. Frequency analysis of signals -- 5. Frequency-domain analysis of LTI systems -- 6. Sampling and reconstruction of signals -- 7. The discrete Fourier transform : its properties and applications -- 8. Efficient computation of the DFT : fast Fourier transform algorithms -- 9. Implementation of discrete-time systems -- 10. Design of digital filters -- 11. Multirate digital signal processing -- 12. Linear prediction and optimum linear filters -- 13. Adaptive filters -- 14. Power spectrum estimation -- A. Random number generators -- B. Tables of transition coefficients for the design of linear-phase FIR filters.
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Item type Current library Call number Status Barcode
General Collection Main Campus Library TK 5102 .P6773 2007 (Browse shelf(Opens below)) Available 20093209

Includes bibliographical references (p. 1053-1066) and index.

1. Introduction -- 2. Discrete-time signals and systems -- 3. The z-transform and its application to the analysis of LTI systems -- 4. Frequency analysis of signals -- 5. Frequency-domain analysis of LTI systems -- 6. Sampling and reconstruction of signals -- 7. The discrete Fourier transform : its properties and applications -- 8. Efficient computation of the DFT : fast Fourier transform algorithms -- 9. Implementation of discrete-time systems -- 10. Design of digital filters -- 11. Multirate digital signal processing -- 12. Linear prediction and optimum linear filters -- 13. Adaptive filters -- 14. Power spectrum estimation -- A. Random number generators -- B. Tables of transition coefficients for the design of linear-phase FIR filters.

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