Statistical Theory of Signal Detection PDF Download
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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.
Author: Carl W. Helstrom
Publisher: Elsevier
ISBN: 1483156850
Category : Technology & Engineering
Languages : en
Pages : 485
Get Book Here
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.
Author: Carl W. Helstrom
Publisher:
ISBN:
Category : Signal detection
Languages : en
Pages : 364
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Book Description
Author: Carl W. Helstrom
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Carl W. Helstrom
Publisher:
ISBN:
Category : Signal detection
Languages : en
Pages : 390
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Book Description
Author: Carl W. Helstrom
Publisher:
ISBN:
Category : Signal detection
Languages : en
Pages : 388
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Book Description
Author: Carl W. Helstrom
Publisher:
ISBN:
Category : Statistical communication theory
Languages : en
Pages : 470
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Book Description
Author: C. W. Helstrom
Publisher:
ISBN:
Category :
Languages : it
Pages :
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Book Description
Author: Carl W. Helstrom
Publisher:
ISBN:
Category :
Languages : en
Pages : 470
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Book Description
Author: Vyacheslav P. Tuzlukov
Publisher: Springer Science & Business Media
ISBN: 146120187X
Category : Technology & Engineering
Languages : en
Pages : 741
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Book Description
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.
Author: Steven M. Kay
Publisher: Pearson Education
ISBN: 013280803X
Category : Technology & Engineering
Languages : en
Pages : 496
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Book Description
"For those involved in the design and implementation of signal processing algorithms, this book strikes a balance between highly theoretical expositions and the more practical treatments, covering only those approaches necessary for obtaining an optimal estimator and analyzing its performance. Author Steven M. Kay discusses classical estimation followed by Bayesian estimation, and illustrates the theory with numerous pedagogical and real-world examples."--Cover, volume 1.
