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.
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"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
Preface Introduction Classical Signal Detection Theory Modern Signal Detection Theory Generalized Approach Signals with Stochastic Parameters Generalized Approach: Communications Detection Performances Experimental Study Type of Signals Epilogue Notation Index Index
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The problem of noise immunity is a key problem for complex signal processing systems research in science and engineering. New approaches to such problems allow the development of a better quality of signal detection in noise.This book is devoted to a new generalized approach to signal detection theory. The main purpose is to present the basic fundamental concepts of the generalized approach to signal processing in noise and to show how it may be applied in various areas of signal processing. The generalized approach allows extension of the well-known boundaries of the potential noise immunity set up by classical and modern signal detection theories. New approaches for construction of detectors with the amplitude, frequency, and phase tracking systems based on the generalized approach are presented.Features and Topics: New approaches to the statistical theory of signal detectionNew features of signal detection based on experimental studyMore rigorous definition of potential noise immunityChapter summaries and an analsys of recent observations obtained by computer modeling and experimentParticularly useful applications for detection problems in radar, communications, wireless communications, acoustics, remote sensing, sonar, underwater signal processing, geophysical signal processing, and biomedical signal processing.The book is an excellent resource for understanding and solving problems in modern signal detection theories. Professionals, scientists, engineers, and researchers in electrical engineering, computer science, geophysics, and applied mathematics will benefit from using the techniques presented. 748 pp. Englisch. Codice articolo 9780817641528
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Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The problem of noise immunity is a key problem for complex signal processing systems research in science and engineering. New approaches to such problems allow the development of a better quality of signal detection in noise.This book is devoted to a new generalized approach to signal detection theory. The main purpose is to present the basic fundamental concepts of the generalized approach to signal processing in noise and to show how it may be applied in various areas of signal processing. The generalized approach allows extension of the well-known boundaries of the potential noise immunity set up by classical and modern signal detection theories. New approaches for construction of detectors with the amplitude, frequency, and phase tracking systems based on the generalized approach are presented.Features and Topics: New approaches to the statistical theory of signal detectionNew features of signal detection based on experimental studyMore rigorous definition of potential noise immunityChapter summaries and an analsys of recent observations obtained by computer modeling and experimentParticularly useful applications for detection problems in radar, communications, wireless communications, acoustics, remote sensing, sonar, underwater signal processing, geophysical signal processing, and biomedical signal processing.The book is an excellent resource for understanding and solving problems in modern signal detection theories. Professionals, scientists, engineers, and researchers in electrical engineering, computer science, geophysics, and applied mathematics will benefit from using the techniques presented. Codice articolo 9780817641528
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