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Birkhäuser

Signal Detection Theory

  • Book
  • © 2001

Overview

Authors:
  1. Vyacheslav P. Tuzlukov

    1. Institute of Engineering Cybernetics, National Academy of Sciences, Minsk, Belarus

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-xviii
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  2. Introduction

    • Vyacheslav P. Tuzlukov
    Pages 1-9

  3. Classical Signal Detection Theory

    • Vyacheslav P. Tuzlukov
    Pages 11-37

  4. Modern Signal Detection Theory

    • Vyacheslav P. Tuzlukov
    Pages 38-224

  5. Generalized Approach

    • Vyacheslav P. Tuzlukov
    Pages 225-293

  6. Signals with Stochastic Parameters

    • Vyacheslav P. Tuzlukov
    Pages 294-421

  7. Generalized Approach: Communications

    • Vyacheslav P. Tuzlukov
    Pages 422-540

  8. Detection Performances

    • Vyacheslav P. Tuzlukov
    Pages 541-630

  9. Experimental Study

    • Vyacheslav P. Tuzlukov
    Pages 631-699

  10. Type of Signals

    • Vyacheslav P. Tuzlukov
    Pages 700-712

  11. Back Matter

    Pages 713-727
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Keywords

About this book

Increasing the noise immunity of complex signal processing systems is the main problem in various areas of signal processing. At the present time there are many books and periodical articles devoted to signal detection, but many important problems remain to be solved. New approaches to complex problems allow us not only to summarize investigations, but also to improve the quality of signal detection in noise. This book is devoted to fundamental problems in the generalized approach to signal processing in noise based on a seemingly abstract idea: the introduction of an additional noise source that does not carry any information about the signal in order to improve the qualitative performance of complex signal processing systems. Theoretical and experimental studies carried out by the author lead to the conclusion that the proposed generalized approach to signal processing in noise allows us to formulate a decision-making rule based on the determi­ nation of the jointly sufficient statistics of the mean and variance of the likelihood function (or functional). Classical and modern signal detection theories allow us to define only the sufficient statistic of the mean of the likelihood function (or functional). The presence of additional information about the statistical characteristics of the like­ lihood function (or functional) leads to better-quality signal detection in comparison with the optimal signal detection algorithms of classical and modern theories.

Reviews

"The book is devoted to a new generalized approach to signal detection theory, both general methods and experimental results with physical systems. It contains seven chapters. In the first one a brief description of the basic tenets of classical detection theory is given.… [The] last chapter deals with the definition of the type of signals, which may be used to ensure high resolution and noise immunity of complex signal processing systems based on the generalized approach.

The book may be useful for experts working in the variety of fields related to modern signal detection theory."

—Applications of Mathematics

Authors and Affiliations

  • Institute of Engineering Cybernetics, National Academy of Sciences, Minsk, Belarus

    Vyacheslav P. Tuzlukov

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