 An Introduction to Statistical Communication Theory: An IEEE Press Classic Reissue
ISBN: 978-0-7803-1178-7
Hardcover
1184 pages
May 1996, Wiley-IEEE Press
US $165.00
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Foreword to the IEEE PRESS Reissue.
Preface to the Second Reprint Edition (1996).
Preface to the First Reprint Edition (1987-1995).
Preface to the First Edition (1960).
AN INTRODUCTION TO STATISTICAL COMMUNICATION THEORY.
Statistical Preliminaries.
Operations on Ensembles.
Spectra, Covariance, and Correlation Functions.
Sampling, Interpolation, and Random Pulse Trains.
Signals and Noise in Nonlinear Systems.
An Introduction to Information Theory.
RANDOM NOISE PROCESSES.
The Normal Random Process: Gaussian Variates.
The Normal Random Process: Gaussian Functionals.
Processes Derived from the Normal.
The Equations of Langevin, Fokker-Planck, and Boltzmann.
Thermal, Shot, and Impulse Noise.
APPLICATIONS TO SPECIAL SYSTEMS.
Amplitude Modulation and Conversion.
Rectification of Amplitude-modulated Waves: Second-momentTheory.
Phase and Frequency Modulation.
Detection of Frequency-modulated Waves: Second-moment Theory.
Linear Measurements, Prediction, and Optimum Filtering.
Some Distribution Problems.
A STATISTICAL THEORY OF RECEPTION.
Reception as a Decision Problem.
Binary Detection Systems Minimizing Average Risk. General Theory.
Binary Detection Systems Minimizing Average Risk. Examples.
Extraction Systems Minimizing Average Risk;
Signal Analysis.
Information Measures in Reception.
Generalizations and Extensions.
Appendix 1. Special Functions and Integrals.
Appendix 2. Solutions of Selected Integral Equations.
Supplementary References and Bibliography.
Selected Supplementary References (1996).
Name Index to Selected Supplementary References.
Glossary of Principal Symbols.
Name Index.
Subject Index.
Author's Biography.
Preface to the Second Reprint Edition (1996).
Preface to the First Reprint Edition (1987-1995).
Preface to the First Edition (1960).
AN INTRODUCTION TO STATISTICAL COMMUNICATION THEORY.
Statistical Preliminaries.
Operations on Ensembles.
Spectra, Covariance, and Correlation Functions.
Sampling, Interpolation, and Random Pulse Trains.
Signals and Noise in Nonlinear Systems.
An Introduction to Information Theory.
RANDOM NOISE PROCESSES.
The Normal Random Process: Gaussian Variates.
The Normal Random Process: Gaussian Functionals.
Processes Derived from the Normal.
The Equations of Langevin, Fokker-Planck, and Boltzmann.
Thermal, Shot, and Impulse Noise.
APPLICATIONS TO SPECIAL SYSTEMS.
Amplitude Modulation and Conversion.
Rectification of Amplitude-modulated Waves: Second-momentTheory.
Phase and Frequency Modulation.
Detection of Frequency-modulated Waves: Second-moment Theory.
Linear Measurements, Prediction, and Optimum Filtering.
Some Distribution Problems.
A STATISTICAL THEORY OF RECEPTION.
Reception as a Decision Problem.
Binary Detection Systems Minimizing Average Risk. General Theory.
Binary Detection Systems Minimizing Average Risk. Examples.
Extraction Systems Minimizing Average Risk;
Signal Analysis.
Information Measures in Reception.
Generalizations and Extensions.
Appendix 1. Special Functions and Integrals.
Appendix 2. Solutions of Selected Integral Equations.
Supplementary References and Bibliography.
Selected Supplementary References (1996).
Name Index to Selected Supplementary References.
Glossary of Principal Symbols.
Name Index.
Subject Index.
Author's Biography.
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