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DISCRETE-TIME SIGNAL PROCESSING (3版)

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作者
OPPENHEIM
出版社
Pearson
ISBN
9780132067096
版次
3
出版日期
2010/04
頁數
1120
書籍開數、尺寸
21x14.8x1.5
重量
1.72 Kg
【原文書】 書名:Discrete-Time Signal Processing 3/e IE 作者:Alan V. Oppenheim ISBN:9780132067096 出版社:PEARSON 內容簡介   For senior/graduate-level courses in Discrete-Time Signal Processing.THE definitive, authoritative text on DSP — ideal for those with an introductory-level knowledge of signals and systems. Written by prominent DSP pioneers, it provides thorough treatment of the fundamental theorems and properties of discrete-time linear systems, filtering, sampling, and discrete-time Fourier Analysis. By focusing on the general and universal concepts in discrete-time signal processing, it remains vital and relevant to the new challenges arising in the field.Access to the password-protected companion Website and myeBook is included with each new copy of Discrete-Time Signal Processing, Third Edition.Ch 1:IntroductionCh 2:Discrete Time-Signals and SystemsCh 3:The z-TransformCh 4:Sampling of Continuous-Time SignalsCh 5:Transform Analysis of Linear Time-Invariant SystemsCh 6:Structures for Discrete-Time SystemsCh 7:Filter Design TechniquesCh 8:The Discrete Fourier TransformCh 9:Computation of the Discrete Fourier TransformCh 10:Fourier Analysis of Signals Using the Discrete Fourier TransformCh 11:Parametric Signal ModelingCh 12:Discrete Hilbert TransformsCh 13:Cepstrum Analysis and Homomorphic DeconvolutionAppendix A. Random SignalsAppendix B. Continuous-Time FiltersAppendix C. Answers to Selected Basic Problems 目錄 Ch 1:Introduction Ch 2:Discrete Time-Signals and Systems Ch 3:The z-Transform Ch 4:Sampling of Continuous-Time Signals Ch 5:Transform Analysis of Linear Time-Invariant Systems Ch 6:Structures for Discrete-Time Systems Ch 7:Filter Design Techniques Ch 8:The Discrete Fourier Transform Ch 9:Computation of the Discrete Fourier Transform Ch 10:Fourier Analysis of Signals Using the Discrete Fourier Transform Ch 11:Parametric Signal Modeling Ch 12:Discrete Hilbert Transforms Ch 13:Cepstrum Analysis and Homomorphic Deconvolution Appendix A. Random Signals Appendix B. Continuous-Time Filters Appendix C. Answers to Selected Basic Problems

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