Elements of Detection and Signal Design / by Charles L. Weber.
Due to a steady flow of requests over several years, Springer-Verlag now provides a corrected reprint of this text. It is designed to serve as a text for a first semester graduate level course for students in digital communication systems. As a pre requisite, it is presumed that the reader has an u...
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Format: | eBook |
Language: | English |
Published: |
New York, NY :
Springer New York,
1987.
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Series: | Springer texts in electrical engineering.
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Table of Contents:
- One Elements of Detection
- 1 Introduction
- 2 A mathematical model
- 3 General decision-theory concepts
- 4 Binary detection systems minimizing the average risk
- 5 Minimax decision-rule concepts
- 6 Radar detection theory
- 7 Binary composite-hypothesis testing
- 8 Detection and communication in colored noise
- 9 Detecting a stochastic signal in noise
- 10 M-ary digital communication systems
- Two Signal Design
- 11 Introduction
- 12 Problem statement for coherent channels
- 13 Signal design when the dimensionality of the signal set is restricted to 2
- 14 General theory
- 15 Optimality for coherent systems when dimensionality is not specified: regular simplex coding
- 16 Optimality for coherent systems when the dimensionality is restricted to D? M? 2
- 17 Optimality for Coherent Systems when the Dimensionality is Restricted to D? M? K, where K? M/2
- 18 Additional Solutions for Three-Dimensional Signal Structures
- 19 Signal-Design Concepts for Noncoherent Channels
- APPENDIX A Summary of conditional gaussian probability density functions
- APPENDIX B Karhunen-Loeve expansion
- APPENDIX C Modified Bessel function of the first kind
- APPENDIX E Summary of tetrachoric series
- APPENDIX F Chi-Squared distribution.