TOC-數字信號處理――原理、算法與應?（第四版）
[DigitalSignalProces。。。
* toc - en
Table of Contents
1 Introduction
1.1 Signals, Systems, and Signal Processing
1.2 Classification of Signals
1.3 The Concept of Frequency in Continuous-Time and Discrete-Time Signals
1.4 Analog-to-Digital and Digital-to-Analog Conversion
1.5 Summary and References
2 Discrete-Time Signals And Systems
2.1 Discrete-Time Signals
2.2 Discrete-Time Systems
2.3 Analysis of Discrete-Time Linear Time-Invariant systems
2.4 Discrete-Time Systems Described by Difference Equations
2.5 Implementation of Discrete-Time Systems
2.6 Correlation of Discrete-Time Signals
2.7 Summary and References
3 The Z-Transform And Its Application To The Analysis Of Lti Systems
3.1 The z-Transform
3.2 Properties of the z-Transform
3.3 Rational z-Transforms
3.4 Inversion of the z-Transform
3.5 Analysis of Linear Time Invariant Systems in the z-Domain
3.6 The One-sided z-Transform
3.7 Summary and References
4 Frequency Analysis Of Signals And Systems
4.1 Frequency Analysis of Continuous-Time Signals
4.2 Frequency Analysis of Discrete-Time Signals
4.3 Frequency-Domain and Time-Domain Signal Properties
4.4 Properties of the Fourier Transform for Discrete-Time Signals
4.5 Summary and References
5 Frequency Domain Analysis Of Lti Systems
5.1 Frequency-Domain Characteristics of Linear Time-Invariant Systems
5.2 Frequency Respon of LTI Systems
5.3 Correlation Functions and Spectra at the Output of LTI Systems
5.4 Linear Time-Invariant Systems as Frequency-Selective Filters
5.5 Inver Systems and Deconvolution
5.6 Summary and References
6 Sampling And Reconstruction Of Signals
6.1 Ideal Sampling and Reconstruction of Continuous-Time Signals
6.2 Discrete-Time Processing of Continuous-Time Signals
6.3 Analog-to-Digital and Digital-to-Analog Converters
6.4 Sampling and Reconstruction of Continuous-Time Bandpass Signals 6.5 Sampling of Discrete-Time Signals
6.6 Oversampling A/D and D/A Converters
6.7 Summary and References
7 The Discrete Fourier Transform: Its Properties And Applications
7.1 Frequency Domain Sampling:The Discrete Fourier Transform
7.2 Properties of the DFT
7.3 Linear Filtering Methods Bad on the DFT
7.4 Frequency Analysis of Signals Using the DFT
7.5 The Discrete Cosine Transform
7.6 Summary and References
8 Efficient Computaiton Of The Dft: Fast Fourier Transform Algorithms 8.1 Efficient Computation of the DFT: FFT Algorithms
8.2 Applications of FFT Algorithms
8.3 A Linear Filtering Approach to Computation of the DFT
8.4 Quantization Effects in the Computation of the DFT
8.5 Summary and References
9 Implementation Of Discrete-Time Systems
9.1 Structures for the Realization of Discrete-Time Systems
9.2 Structures for FIR Systems
9.3 Structures for IIR Systems
9.4 Reprentation of Numbers
9.5 Quantization of Filter Coefficients
9.6 Round-Off Effects in Digital Filters
9.7 Summary and References
10 Design Of Digital Filers
10.1 General Considerations
10.2 Design of FIR Filters
10.3 Design of IIR Filters From Analog Filters
10.4 Frequency Transformations
10.5 Summary and References
11 Multirate Digital Signal Processing
11.1 Introduction
11.2 Decimation by a Factor D
11.3 Interpolation by a Factor I
11.4 Sampling Rate Conversion by a Rational Factor I/D
11.5 Implementation of Sampling Rate Conversion
11.6 Multistage Implementation of Sampling Rate Conversion 11.7 Sampling Rate Conversion of Bandpass Signals
11.8 Sampling Rate conversion by an Arbitrary Factor
11.9 Applications of Sampling Rate Conversion
11.10 Digital Filter Banks
11.11 Two-Channel Quadrature Mirror Filter Bank
11.12 M-Channel QMF Bank
11.13 Summary and References
12 Linear Prediction And Optimum Linear Filters
12.1 Random Signals, Correlation Functions and Power Spectra 12.2 Innovations Reprentation of a Stationary Random Process 12.3 Forward and Backward Linear Prediction
12.4 Solution of the Normal Equations
12.5 Properties of the Linear Prediction-Error Filters
12.6 AR Lattice and ARMA Lattice-Ladder Filters
12.7 Wiener Filters for Filtering and Prediction
12.8 Summary and References
13 Adaptive Filters
13.1 Applications of Adaptive Filters
13.2 Adaptive Direct-Form FIR Filters-The LMS Algorithm
13.3 Adaptive Direct-Form FIR Filters-RLS Algorithms
13.4 Adaptive Lattice-Ladder Filters
13.5 Summary and References
14 Power Spectrum Estimation
14.1 Estimation of Spectra from Finite-Duration Obrvations of Signals
14.2 Nonparametric Methods for Power Spectrum Estimation
14.3 Parametric Methods for Power Spectrum Estimation
14.4 Filter Bank Methods
14.5 Eigenanalysis Algorithms for Spectrum Estimation
14.6 Summary and References
Appendices
Appendix A Random Number Generators
Appendix B Tables of Transition Coefficients for the Design of Linear-Pha Filters References and Bibliography
Index
* 數字信號處理――原理、算法與應?（第四版） [Digital Signal Processing,Fourth Edition] John G.Proakis，Dimitris G.Manolakis
第1章緒論
1．1 信號、系統及信號處理
1．1．1 數字信號處理系統的基本組成
1．1．2 數字信號處理與模擬信號處理相?的優點
1．2 信號分類
1．2．1 多通道信號與多維信號
1．2．2 連續時間信號和離散時間信號
1．2．3 連續值信號與離散值信號
1．2．4 確定性信號與隨機信號
1．3 連續時間信號與離散時間信號中的頻率概念
1．3．1 連續時間正弦信號
1．3．2 離散時間正弦信號
1．3．3 諧相關的復指數信號
1．4 模數和數模轉換
1．4．1 模擬信號采樣
1．4．2 采樣定理
1．4．3 連續幅度信號的量化
1．4．4 正弦信號的量化
1．4．5 量化采樣信號的編碼
1．4．6 數模轉換
1．4．7 數字信號與系統及離散時間信號與系統的分析
1．5 ?結與參考?獻
習題
第2章離散時間信號與系統
2．1 離散時間信號
2．1．1 離散時間信號的基本元素
2．1．2 離散時間信號的分類
2．1．3 離散時間信號的簡單處理
2．2 離散時間系統
2．2．1 系統的輸?-輸出描述
2．2．2 離散時間系統的結構圖表?
2．2．3 離散時間系統的分類
2．2．4 離散時間系統的互連
2．3 離散時間線性時不變系統的分析
2．3．1 線性系統的分析?法
2．3．2 離散時間信號分解為沖激信號
2．3．3 LTI系統對任意輸?的響應：卷積和
2．3．4 卷積的性質以及LTI系統的互連
2．3．5 因果LTI系統
2．3．6 線性時不變系統的穩定性
2．3．7 有限長和?限長沖激響應的系統
2．4 由差分?程描述的離散時間系統
2．4．1 遞歸和?遞歸的離散時間系統
2．4．2 由常系數差分?程描述的線性時不變系統的特性2．4．3 線性常系數差分?程的解
2．4．4 線性時不變遞歸系統的沖激響應
2．5 離散時間系統的實現
2．5．1 線性時不變系統的實現結構
2．5．2 FIR系統的遞歸和?遞歸實現
2．6 離散時間信號的相關性
2．6．1 互相關和?相關序列
2．6．2 ?相關和互相關序列的性質
2．6．3 周期序列的相關性
2．6．4 輸?-輸出相關序列
2．7 ?結與參考?獻
習題
第3章 z變換及其在線性時不變系統分析中的應?
3．1 z變換
3．1．1 z正變換
3．1．2 z逆變換
3．2 z變換的性質
3．3 有理z變換
3．3．1 極點和零點
3．3．2 因果信號的極點位置和時域?為
3．3．3 線性時不變系統的系統函數
3．4 z逆變換
3．4．1 圍線積分法求z逆變換
3．4．2 冪級數展開法求z逆變換
3．4．3 部分分式展開法求z逆變換
3．4．4 有理z變換的分解
3．5 z域線性時不變系統的分析
3．5．1 有理系統函數的系統響應
3．5．2 暫態響應和穩態響應
3．5．3 因果性和穩定性
3．5．4 零極點抵消
3．5．5 多階極點和穩定性
3．5．6 ?階系統的穩定性
3．6 單邊z變換
3．6．1 定義和性質
3．6．2 差分?程的求解
3．6．3 具有?零初始條件的零極點系統的響應
3．7 ?結與參考?獻
習題
第4章信號的頻率分析
4．1 連續時間信號的頻率分析
4．1．1 連續時間周期信號的傅?葉級數
4．1．2 周期信號的功率密度譜
4．1．3 連續時間?周期信號的傅?葉變換
4．1．4 ?周期信號的能量密度譜
4．2 離散時間信號的頻率分析
4．2．1 離散時間周期信號的傅?葉級數
4．2．2 周期信號的功率密度譜
4．2．3 離散時間?周期信號的傅?葉變換
4．2．4 傅?葉變換的收斂性
4．2．5 ?周期信號的能量密度譜
4．2．6 傅?葉變換和z變換的關系
4．2．7 倒譜
4．2．8 單位圓上有極點的信號的傅?葉變換
4．2．9 信號的頻域分類：帶寬的概念
4．2．10某些?然信號的頻率范圍
4．3 頻域和時域的信號特性
4．4 離散時間信號傅?葉變換的性質
4．4．1 傅?葉變換的對稱性質
4．4．2 傅?葉變換的定理和性質
4．5 ?結與參考?獻
習題
第5章 LTI系統的頻域分析
