An Introduction to Statistical Communication Theory

An Introduction to Statistical Communication Theory PDF Author: David Middleton
Publisher: Wiley-IEEE Press
ISBN:
Category : Mathematics
Languages : en
Pages : 1192

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Book Description
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.)

An Introduction to Statistical Communication Theory

An Introduction to Statistical Communication Theory PDF Author: David Middleton
Publisher: Wiley-IEEE Press
ISBN:
Category : Mathematics
Languages : en
Pages : 1192

Get Book Here

Book Description
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.)

Statistical Communication and Detection

Statistical Communication and Detection PDF Author: Enders A. Robinson
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 392

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Book Description


Statistical Communication Theory and Applications

Statistical Communication Theory and Applications PDF Author: Harold Roy Raemer
Publisher: Prentice Hall
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 504

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Book Description


Optimal Combining and Detection

Optimal Combining and Detection PDF Author: Jinho Choi
Publisher: Cambridge University Press
ISBN: 1139486330
Category : Technology & Engineering
Languages : en
Pages : 349

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Book Description
With signal combining and detection methods now representing a key application of signal processing in communication systems, this book provides a range of key techniques for receiver design when multiple received signals are available. Various optimal and suboptimal signal combining and detection techniques are explained in the context of multiple-input multiple-output (MIMO) systems, including successive interference cancellation (SIC) based detection and lattice reduction (LR) aided detection. The techniques are then analyzed using performance analysis tools. The fundamentals of statistical signal processing are also covered, with two chapters dedicated to important background material. With a carefully balanced blend of theoretical elements and applications, this book is ideal for both graduate students and practising engineers in wireless communications.

Elements of Detection and Signal Design

Elements of Detection and Signal Design PDF Author: Charles L. Weber
Publisher: Springer Science & Business Media
ISBN: 1461247748
Category : Technology & Engineering
Languages : en
Pages : 300

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Book Description
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 understanding of basic probability and stochastic processes. The treatment of digital communications in this book is intended to serve as an introduction to the subject. Part one is a development of the elements of statistical communication theory and radar detection. The text begins with a general model of a communication system which is extensively developed and the performance analyses of various conventional systems. The first part also serves as introductory material for the second part of the text which is a comprehensive study of the theory of transmitter optimization for coherent and noncoherent digital commu nication systems, that is, the theory of signal design.

Statistical communication and detection, with special reference to digital data processing of radar and seismic signals, with forewords by M.Bath and A.F.Gangi

Statistical communication and detection, with special reference to digital data processing of radar and seismic signals, with forewords by M.Bath and A.F.Gangi PDF Author: Enders A. Robinson
Publisher:
ISBN:
Category : Electronic digital computers
Languages : en
Pages :

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Book Description


Statistical Communication Theory and Its Applications

Statistical Communication Theory and Its Applications PDF Author: Boris Ruvimovich Levin
Publisher:
ISBN:
Category : Statistical communication theory
Languages : en
Pages : 328

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Book Description


Statistical Theory of Signal Detection

Statistical Theory of Signal Detection PDF Author: Carl W. Helstrom
Publisher:
ISBN:
Category : Signal detection
Languages : en
Pages : 364

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Book Description


Detection Theory

Detection Theory PDF Author: Ivan Selin
Publisher: Princeton University Press
ISBN: 1400876206
Category : Mathematics
Languages : en
Pages : 143

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Book Description
In the area of statistical communications, a well-developed theory has grown to cover the testing for the presence of a desired process (signal) in the presence of an undesirable random process (noise). This book presents an adaptation of this theory. Originally published in 1965. The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.

Statistical Theory of Signal Detection

Statistical Theory of Signal Detection PDF Author: Carl W. Helstrom
Publisher: Elsevier
ISBN: 1483156850
Category : Technology & Engineering
Languages : en
Pages : 485

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Book Description
Statistical Theory of Signal Detection, Second Edition provides an elementary introduction to the theory of statistical testing of hypotheses that is related to the detection of signals in radar and communications technology. This book presents a comprehensive survey of digital communication systems. Organized into 11 chapters, this edition begins with an overview of the theory of signal detection and the typical detection problem. This text then examines the goals of the detection system, which are defined through an analogy with the testing of statistical hypotheses. Other chapters consider the noise fluctuations in terms of probability distributions whereby the statistical information is used to design a receiver that attains the maximum rate of successful detections in a long series of trials. This book discusses as well the criteria of success and failure in statistical situations. The final chapter deals with the types of stochastic signals. This book is a valuable resource for mathematicians and engineers.