An Introduction to Statistical Communication Theory

An Introduction to Statistical Communication Theory

by David Middleton
     
 
This IEEE Classic Reissue provides at an advanced level, a uniquely fundamental exposition of the applications of Statistical Communication Theory to a vast spectrum of important physical problems. Included are general analysis of signal detection, estimation, measurement, and related topics involving information transfer.

Using the statistical Bayesian

Overview

This IEEE Classic Reissue provides at an advanced level, a uniquely fundamental exposition of the applications of Statistical Communication Theory to a vast spectrum of important physical problems. Included are general analysis of signal detection, estimation, measurement, and related topics involving information transfer.

Using the statistical Bayesian viewpoint, renowned author David Middleton employs statistical decision theory specifically tailored for the general tasks of signal processing. Dr. Middleton also provides a special focus on physical modeling of the canonical channel with real-world examples relating to radar, sonar, and general telecommunications. This book offers a detailed treatment and an array of problems and results spanning an exceptionally broad range of technical subjects in the communications field.

Complete with special functions, integrals, solutions of integral equations, and an extensive, updated bibliography by chapter, An Introduction to Statistical Communication Theory is a seminal reference, particularly for anyone working in the field of communications, as well as in other areas of statistical physics. (Originally published in 1960.)

Editorial Reviews

Booknews
An advanced level treatment of the applications of statistical communication theory to various physical problems, originally published in 1960 by McGraw-Hill, Inc. Coverage includes signal detection, estimation, and information transfer, plus statistical decision theory via the Bayesian statistical viewpoint, and special focus on physical modeling of the canonical channel with real-world examples involving radar, sonar, and general telecommunications applications. Useful as a reference for anyone working in the field of communications, as well as in other areas of statistical physics. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Product Details

ISBN-13:
9780932146151
Publisher:
Peninsula Publishing
Publication date:
06/01/1987
Pages:
1140

Related Subjects

Meet the Author

David Middleton is a consulting physicist, applied mathematician, educator and author who is an internationally recognized pioneer in statistical communication theory, a field in which he has been active for more than fifty years. He is author of Topics in Communication Theory (1965–1967, 1987-) and more than 160 papers. Dr. Middleton is currently Adjunct Professor of Electrical Engineering at the University of Rhode Island.

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