信號檢測與估計：理論與套用

《信號檢測與估計：理論與套用》是2007年4月1日電子工業出版社出版的圖書，作者是(美)舍恩霍夫。詳細講解了信號檢測與估計的理論知識與實踐套用，共分為四個部分。全書共19章，各章都附有大量例題和習題，並給出數個MATLAB計算機仿真實驗，以加深讀者對於抽象理論的理解，便於讀者實踐掌握。

基本介紹

• 書名：信號檢測與估計：理論與套用
• 出版社：電子工業出版社
• 出版時間：2007年4月1日
• 版次：第一版

圖書信息

平裝: 653頁

開本: 0開

ISBN: 7121039249

條形碼: 9787121039249

尺寸: 23.5 x 18.3 x 2.8 cm

重量: 898 g

作者簡介

作者：(美)舍恩霍夫 等

內容簡介

信號檢測與估計是研究在噪聲、干擾和信號共存的環境中如何正確發現、辨別和測量信號的技術，廣泛套用於雷達和無線通信等領域。《信號檢測與估計:理論與套用》詳細講解了信號檢測與估計的理論知識與實踐套用，共分為四個部分。第一部分概述後續章節需要用到的基礎知識，第二部分講述檢測理論的基礎概念，包括二元假設檢驗、備擇假設檢驗、具有隨機參量的複合假設檢驗及非參量檢驗等。第三部分介紹單參數和多參數的估值方法以及波形估計理論。第四部分介紹某些理論的特定套用。全書共19章，各章都附有大量例題和習題，並給出數個MATLAB計算機仿真實驗，以加深讀者對於抽象理論的理解，便於讀者實踐掌握。

目錄

Part Ⅰ　Review Chapters

Chapter 1　Review of Probability

1.1　Chapter Highlights

1.2　Definition of Probability

1.3　Conditional Probability

1.4　Bayes' Theorem

1.5　Independent Events

1.6　Random Variables

1.7　Conditional Distributions and Densities

1.8　Functions of One Random Variable

1.9　Moments of a Random Variable

1.10 Distributions with Two Random Variables

1.11 Multiple Random Variables

1.12 Mean-Square Error （MSE） Estimation

1.13 Bibliographical Notes

1.14 Problems

Chapter 2　Stochastic Processes

2.1　Chapter Highlights

2.2　Stationary Processes

2.3　Cyclostationary Processes

2.4　Averages and Ergodicity

2.5　Autocorrelation Function

2.6　Power Spectral Density

2.7　Discrete-Time Stochastic Processes

2.8　Sspatial Stochastic Processes

2.9　Random Signals

2.10 Bibliographical Notes

2.11 Problems

Chapter 3 Signal Representations and Statistics

3.1　Chapter Highlights

3.2　Relationship of Power Spectral Density and Autocorrelation Functi

3.3　Sampling Theorem

3.4　Linear Time-Invariant and Linear Shift-Invariant Systems

3.5　Bandpass Signal Representations

3.6　Bibliographical Notes

3.7　Problems

Part Ⅱ Detection Chapters

Chapter 4 Single Sample Detection of Binary Hypotheses

4.1　Chapter Highlights

4.2　Hypothesis Testing and the MAP Criterion

4.3　Bayes Criterion

4.4　Minimax Criterion

4.5　Neyman-Pearson Criterion

4.6　Summary of Detection-Criterion Results Used in Chapter 4 Examples

4.7　Sequential Detection

4.8　Bibliographical Notes

4.9　Problems

Chapter 5 Multiple Sample Detection of Binary Hypotheses

5.1　Chapter Highlights

5.2　Examples of Multiple Measurements

5.3　Bayes Criterion

5.4　Other Criteria

5.5　The Optimum Digital Detector in Additive Gaussian Noise

5.6　Filtering Alternatives

5.7　Continuous Signals White Gaussian Noise

5.8　Continuous Signals Colored Gaussian Noise

5.9　Performance of Binary Receivers in AWGN

5.10 Further Receiver-Structure Considerations

5.11 Sequential Detection and Performance

……

Part Ⅲ Estimation Chapters

Part Ⅳ Application Chapters

Appendix A Properties of Distribution and Density Functions

Appendix B Common pdfs,cdfs, and characteristic Functions

Appendix C Multiple Normal Random Variables

Appendix D Properties of Autocorrelation and Power Spectral Density

Appendix E Equivalence of LTI and LSI Bandlimited Systems

Appendix F Theory of Random Sums

Appendix G Evaluations Useful for Chapters6,7,and 16

Appendix H Gram-Charlier Type Series

Appendix I Mobile User Detection

Bibliography

Glossary

List of Symbols

Index