An Introduction to Statistical Communication Theory:An IEEE Press Classic Reissue

Cover Image Copyright Year: 1996
Author(s): David Middleton
Book Type: Wiley-IEEE Press
Content Type : Books
Topics: Components, Circuits, Devices & Systems ;  Computing & Processing
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Abstract

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 Sta istical 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.)

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      Frontmatter

      Page(s): i - xxviii
      Copyright Year: 1996

      Wiley-IEEE Press eBook Chapters

      The prelims comprise:
      Half Title
      Copyright
      Title
      IEEE Press Board Page
      Dedication
      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)
      Contents View full abstract»

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      An Introduction to Statistical Communication Theory

      Page(s): 1
      Copyright Year: 1996

      Wiley-IEEE Press eBook Chapters

      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 Sta istical 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.) View full abstract»

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      Statistical Preliminaries

      Copyright Year: 1996

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      This chapter contains sections titled:

    • Introductory Remarks

    • Probability Distributions and Distribution Densities

    • Description of Random Processes

    • Further Classification of Random Processes

    • Time and Ensemble Averages

    • Ergodicity and Applications

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    • References

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    Operations on Ensembles

    Copyright Year: 1996

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    This chapter contains sections titled:

  • Operations on Ensembles

  • Linear Systems; Representations

  • Nonlinear Systems; Representations

  • Objectives of the Present Study

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  • References

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    Spectra, Covariance, and Correlation Functions

    An Introduction to Statistical Communication Theory:An IEEE Press Classic Reissue
    Copyright Year: 1996

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    This chapter contains sections titled:

  • The Autocorrelation Function

  • The Intensity Spectrum

  • Autovariance, Autocorrelation, and Spectra of Linearly Filtered Waves

  • Cross-correlation Functions, Spectra, and Generalizations

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  • References

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    Sampling, Interpolation, and Random Pulse Trains

    An Introduction to Statistical Communication Theory:An IEEE Press Classic Reissue
    Copyright Year: 1996

    Wiley-IEEE Press eBook Chapters

    This chapter contains sections titled:

  • Discrete Sampling (Continuous Random Series)

  • Discrete Sampling (Interpolation)

  • Random Pulse Trains with Periodic Structure

  • Aperiodic Nonoverlapping Random Pulse Trains

  • Overlapping Random Pulses

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  • References

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    Signals and Noise in Nonlinear Systems

    An Introduction to Statistical Communication Theory:An IEEE Press Classic Reissue
    Copyright Year: 1996

    Wiley-IEEE Press eBook Chapters

    This chapter contains sections titled:

  • Rectification with Zero-memory Devices

  • Three Examples of Rectification

  • Noise Figures and Signal-to-Noise Ratios

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  • References

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    An Introduction to Information Theory

    An Introduction to Statistical Communication Theory:An IEEE Press Classic Reissue
    Copyright Year: 1996

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    This chapter contains sections titled:

  • Preliminary Remarks

  • Measures of Information: The Discrete Case

  • Entropy and Other Average Measures: Discrete Cases (Continued)

  • Measures of Information: Continuous Cases

  • Rates and Channel Capacity

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  • References

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    Random Noise Processes

    An Introduction to Statistical Communication Theory:An IEEE Press Classic Reissue
    Copyright Year: 1996

    Wiley-IEEE Press eBook Chapters

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    The Normal Random Process: Gaussian Variates

    An Introduction to Statistical Communication Theory:An IEEE Press Classic Reissue
    Page(s): 335 - 368
    Copyright Year: 1996

    Wiley-IEEE Press eBook Chapters

    This chapter contains sections titled:
    The Normal Random Variable1
    The Bivariate Normal Distribution
    The Multivariate Normal Distribution
    The Normal Random Process
    Some Properties of the Normal Process
    Classification (Doob's Theorem)
    Unrestricted Random Walk and the Central-limit Theorem This chapter contains sections titled:
    References View full abstract»

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    The Normal Random Process: Gaussian Functionals

    An Introduction to Statistical Communication Theory:An IEEE Press Classic Reissue
    Page(s): 369 - 395
    Copyright Year: 1996

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    This chapter contains sections titled:
    Gaussian Functionals
    Orthogonal Expansions of a Random Process
    Fourier-series Expansions This chapter contains sections titled:
    References View full abstract»

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    Processes Derived from the Normal

    An Introduction to Statistical Communication Theory:An IEEE Press Classic Reissue
    Copyright Year: 1996

    Wiley-IEEE Press eBook Chapters

    This chapter contains sections titled:

  • Statistical Properties of the Envelope and Phase of Narrowband Normal Noise

  • Statistical Properties of Additive Narrowband Signal and Normal Noise Processes

  • Statistics of Signals and Broadband Normal Noise Processes

  • Zero Crossings and Extrema of a Random Process

  • This chapter contains sections titled:

  • References

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    The Equations of Langevin, FokkerPlanck, and Boltzmann

    An Introduction to Statistical Communication Theory:An IEEE Press Classic Reissue
    Copyright Year: 1996

    Wiley-IEEE Press eBook Chapters

    This chapter contains sections titled:

  • Formulation in Terms of a Stochastic Differential Equation: The Langevin Equation

  • Some Examples Leading to a Diffusion Equation

  • The Equation of Fokker-Planck and its Relation to the Langevin Equation

  • The Gaussian Random Process

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  • References

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    Thermal, Shot, and Impulse Noise

    An Introduction to Statistical Communication Theory:An IEEE Press Classic Reissue
    Copyright Year: 1996

    Wiley-IEEE Press eBook Chapters

    This chapter contains sections titled:

  • Thermal Noise

  • Impulse Noise

  • Temperature-limited Shot Noise

  • This chapter contains sections titled:

  • References

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    Applications to Special Systems

    An Introduction to Statistical Communication Theory:An IEEE Press Classic Reissue
    Page(s): 511
    Copyright Year: 1996

    Wiley-IEEE Press eBook Chapters

    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 Sta istical 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.) View full abstract»

  • Full text access may be available. Click article title to sign in or learn about subscription options.

    Amplitude Modulation and Conversion

    An Introduction to Statistical Communication Theory:An IEEE Press Classic Reissue
    Copyright Year: 1996

    Wiley-IEEE Press eBook Chapters

    This chapter contains sections titled:

  • Methods of Modulation

  • Covariance Functions and Intensity Spectra

  • Conversion I. Preliminary Remarks

  • Conversion II. Second-moment Theory

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  • References

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    Rectification of AmplitudeModulated Waves: SecondMoment Theory

    An Introduction to Statistical Communication Theory:An IEEE Press Classic Reissue
    Copyright Year: 1996

    Wiley-IEEE Press eBook Chapters

    This chapter contains sections titled:

  • Rectification of Broad- and Narrowband Noise Processes

  • Rectification of Noise and a Sinusoidal Carrier1,2

  • Detection of a Sinusoidally Modulated Carrier in Noise

  • Other Rectification Problems

  • This chapter contains sections titled:

  • References

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    Phase and Frequency Modulation

    An Introduction to Statistical Communication Theory:An IEEE Press Classic Reissue
    Copyright Year: 1996

    Wiley-IEEE Press eBook Chapters

    This chapter contains sections titled:

  • Covariance Functions and Spectra

  • Limiting Forms

  • Generalizations

  • This chapter contains sections titled:

  • References

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    Detection of FrequencyModulated Waves; SecondMoment Theory

    An Introduction to Statistical Communication Theory:An IEEE Press Classic Reissue
    Copyright Year: 1996

    Wiley-IEEE Press eBook Chapters

    This chapter contains sections titled:

  • The FM Receiver

  • The Mean and Mean-square Output of an FM Receiver

  • The Reception of Narrowband Frequency Modulation

  • Covariance Function and Spectrum of the Output of the FM Receiver (General Theory)

  • Special Cases for Broadband Frequency Modulation

  • This chapter contains sections titled:

  • References

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    Linear Measurements, Prediction, and Optimum Filtering

    An Introduction to Statistical Communication Theory:An IEEE Press Classic Reissue
    Copyright Year: 1996

    Wiley-IEEE Press eBook Chapters

    This chapter contains sections titled:

  • Linear Finite-time Measurements

  • Optimum Linear Prediction and Filtering

  • Maximization of Signal-to-Noise Ratios¿¿-¿¿Matched Filters

  • This chapter contains sections titled:

  • References

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    Some Distribution Problems

    An Introduction to Statistical Communication Theory:An IEEE Press Classic Reissue
    Copyright Year: 1996

    Wiley-IEEE Press eBook Chapters

    This chapter contains sections titled:

  • Preliminary Results: Reduction of det (I + ?>G)

  • Distribution Densities and Functionals

  • Distribution Densities after Nonlinear Operations and Filtering

  • This chapter contains sections titled:

  • References

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    A Statistical Theory of Reception

    An Introduction to Statistical Communication Theory:An IEEE Press Classic Reissue
    Page(s): 771
    Copyright Year: 1996

    Wiley-IEEE Press eBook Chapters

    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 Sta istical 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.) View full abstract»

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    Reception as a Decision Problem

    An Introduction to Statistical Communication Theory:An IEEE Press Classic Reissue
    Copyright Year: 1996

    Wiley-IEEE Press eBook Chapters

    This chapter contains sections titled:

  • Introduction

  • Signal Detection and Extraction

  • The Reception Situation in General Terms

  • System Evaluation

  • A Summary of Basic Definitions and Principal Theorems

  • This chapter contains sections titled:

  • References

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    Binary Detection Systems Minimizing Average Risk. General Theory

    An Introduction to Statistical Communication Theory:An IEEE Press Classic Reissue
    Copyright Year: 1996

    Wiley-IEEE Press eBook Chapters

    This chapter contains sections titled:

  • Formulation

  • Special Optimum Detection Systems

  • Evaluation of Performance

  • Structure; Threshold Detection

  • This chapter contains sections titled:

  • References

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    Binary Detection Systems Minimizing Average Risk. ExamplesThe following presentation is based for the most part on the author's published and unpublished work. For additional references, see also Middleton and Van Meter,1 Bussgang and Middleton,2 and Chap. 19, Refs. 1 to 25, as well as the references at the end of this chapter.

    An Introduction to Statistical Communication Theory:An IEEE Press Classic Reissue
    Copyright Year: 1996

    Wiley-IEEE Press eBook Chapters

    This chapter contains sections titled:

  • Threshold Structure I. Discrete Sampling

  • Threshold Structure II. Continuous Sampling

  • System Evaluation: Error Probabilities and Average Risk

  • Examples

  • This chapter contains sections titled:

  • References

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    Extraction Systems Minimizing Average Risk; Signal Analysis

    An Introduction to Statistical Communication Theory:An IEEE Press Classic Reissue
    Copyright Year: 1996

    Wiley-IEEE Press eBook Chapters

    This chapter contains sections titled:

  • Some Results of Classical Estimation Theory

  • Decision-Theory Formulation

  • Estimation of Amplitude (Deterministic Signals and Normal Noise)

  • Waveform Estimation32 (Stochastic Signals)

  • Remarks

  • This chapter contains sections titled:

  • References

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    Information Measures in Reception

    An Introduction to Statistical Communication Theory:An IEEE Press Classic Reissue
    Copyright Year: 1996

    Wiley-IEEE Press eBook Chapters

    This chapter contains sections titled:

  • Information and Sufficiency

  • Information-loss Criterion for Detection

  • Information-loss Criterion for Extraction

  • This chapter contains sections titled:

  • References

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    Generalizations and Extensions

    An Introduction to Statistical Communication Theory:An IEEE Press Classic Reissue
    Copyright Year: 1996

    Wiley-IEEE Press eBook Chapters

    This chapter contains sections titled:

  • Multiple-alternative Detection and Estimation

  • Cost Coding: Joint Optimization of Transmission and Reception by Choice of Signal Waveform

  • Relations to Game Theory

  • A Critique of the Decision-theory Approach

  • Some Future Problems

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  • References

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    Special Functions and IntegralsSee, for example, D. Middleton, Some General Results in the Theory of Noise through Non Linear Devices, Quart. Appl. Math, 5: 445 (1948), app, III.

    An Introduction to Statistical Communication Theory:An IEEE Press Classic Reissue
    Copyright Year: 1996

    Wiley-IEEE Press eBook Chapters

    This chapter contains sections titled:

  • The Error Function and Its Derivatives1-3

  • The Confluent Hypergeometric Function

  • The Gaussian Hypergeometric Function

  • Auxiliary Relations

  • Some Special Integrals

  • This chapter contains sections titled:

  • References

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    Solutions of Selected Integral Equations

    An Introduction to Statistical Communication Theory:An IEEE Press Classic Reissue
    Copyright Year: 1996

    Wiley-IEEE Press eBook Chapters

    This chapter contains sections titled:

  • Introduction

  • Homogeneous Integral Equations with Rational Kernels

  • Inhomogeneous Equations with Rational Kernels

  • Examples

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  • References

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    Supplementary References and Bibliography

    An Introduction to Statistical Communication Theory:An IEEE Press Classic Reissue
    Page(s): 1103 - 1120
    Copyright Year: 1996

    Wiley-IEEE Press eBook Chapters

    This chapter contains sections titled:
    Books
    Paper View full abstract»

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    Glossary of Principal Symbols

    An Introduction to Statistical Communication Theory:An IEEE Press Classic Reissue
    Page(s): 1121 - 1129
    Copyright Year: 1996

    Wiley-IEEE Press eBook Chapters

    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 Sta istical 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.) View full abstract»

  • Full text access may be available. Click article title to sign in or learn about subscription options.

    Name Index

    An Introduction to Statistical Communication Theory:An IEEE Press Classic Reissue
    Page(s): 1131 - 1136
    Copyright Year: 1996

    Wiley-IEEE Press eBook Chapters

    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 Sta istical 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.) View full abstract»

  • Full text access may be available. Click article title to sign in or learn about subscription options.

    Subject Index

    An Introduction to Statistical Communication Theory:An IEEE Press Classic Reissue
    Page(s): 1137 - 1150
    Copyright Year: 1996

    Wiley-IEEE Press eBook Chapters

    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 Sta istical 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.) View full abstract»

  • Full text access may be available. Click article title to sign in or learn about subscription options.

    Author's Biography

    An Introduction to Statistical Communication Theory:An IEEE Press Classic Reissue
    Page(s): 1151 - 1152
    Copyright Year: 1996

    Wiley-IEEE Press eBook Chapters

    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 Sta istical 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.) View full abstract»



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