| Titre : |
An Introduction to Statistical Communication Theory |
| Type de document : |
texte imprimé |
| Auteurs : |
David MIDDELTON ; IEEE Communications Society ; IEEE Information Theory Society |
| Editeur : |
IEEE Press |
| Année de publication : |
1996 |
| Importance : |
1152 p. |
| ISBN/ISSN/EAN : |
978-0-7803-1178-7 |
| Note générale : |
Foreword to the IEEE Press Reissue
Prefaces
Contents
Appendices
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 |
| Catégories : |
Communication, Théorie mathématique de la
Information, Théorie de l'
|
| Index. décimale : |
621.382 Techniques des communications |
| Résumé : |
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
Processes Derived from the Normal
The Equations of Langevin, Fokker-Planck, and Boltzman
Thermal, Shot, and Impulse Noise
APPLICATIONS TO SPECIAL SYSTEMS
Amplitude Modulation and Conversion
Rectification of Amplitude-Modulated Waves: Second-Moment Theory
Phase and Frequency Modulation
Detection of Frequency-Modulated Waves; Second-Moment Theory
Linear Measurements, Prediction, and Optimum Filtering
Some Distribution Problems
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
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