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Statistical Tests for Signal Detection

Author: James C. Morakis

Publisher:

Published: 1967

Total Pages: 100

ISBN-13:

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Some of the problems arising from maximum likelihood decision systems in time varying channels are solved by first introducing simple statistics which are functions of the outputs of the correlators of an n-ary detection system. Then methods are developed to use the statistics to a) attach a confidence level to each decision in a maximum likelihood decision system, b) control the error rate at the expense of data rejection, and c) define the critical region for an optimum generalized decision system. These improvements and optimizations are accomplished by taking advantage of the information already available in the sample representing the outputs of n-ary detection systems. The six statistics that are investigated are simple functions of the largest correlator output, the mean, the standard deviation, the sample mean, the sample variance, the next to the largest correlator output, and the smallest correlator output.

Book Synopsis Statistical Tests for Signal Detection by : James C. Morakis

Download or read book Statistical Tests for Signal Detection written by James C. Morakis and published by . This book was released on 1967 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: Some of the problems arising from maximum likelihood decision systems in time varying channels are solved by first introducing simple statistics which are functions of the outputs of the correlators of an n-ary detection system. Then methods are developed to use the statistics to a) attach a confidence level to each decision in a maximum likelihood decision system, b) control the error rate at the expense of data rejection, and c) define the critical region for an optimum generalized decision system. These improvements and optimizations are accomplished by taking advantage of the information already available in the sample representing the outputs of n-ary detection systems. The six statistics that are investigated are simple functions of the largest correlator output, the mean, the standard deviation, the sample mean, the sample variance, the next to the largest correlator output, and the smallest correlator output.

Statistical Tests for Signal Detection [with List of References]

Author:

Publisher:

Published: 1967

Total Pages: 88

ISBN-13:

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Book Synopsis Statistical Tests for Signal Detection [with List of References] by :

Download or read book Statistical Tests for Signal Detection [with List of References] written by and published by . This book was released on 1967 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistical Theory of Signal Detection

Author: Carl W. Helstrom

Publisher: Elsevier

Published: 2013-10-22

Total Pages: 485

ISBN-13: 1483156850

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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.

Book Synopsis Statistical Theory of Signal Detection by : Carl W. Helstrom

Download or read book Statistical Theory of Signal Detection written by Carl W. Helstrom and published by Elsevier. This book was released on 2013-10-22 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Statistical Theory of Signal Detection

Author: Carl W. Helstrom

Publisher:

Published: 1960

Total Pages: 364

ISBN-13:

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Book Synopsis Statistical Theory of Signal Detection by : Carl W. Helstrom

Download or read book Statistical Theory of Signal Detection written by Carl W. Helstrom and published by . This book was released on 1960 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Optimal Combining and Detection

Author: Jinho Choi

Publisher: Cambridge University Press

Published: 2010-01-28

Total Pages: 349

ISBN-13: 1139486330

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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.

Book Synopsis Optimal Combining and Detection by : Jinho Choi

Download or read book Optimal Combining and Detection written by Jinho Choi and published by Cambridge University Press. This book was released on 2010-01-28 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Signal Detection for Medical Scientists

Author: Ram Tiwari

Publisher: CRC Press

Published: 2021-06-24

Total Pages: 243

ISBN-13: 0429521928

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Signal Detection for Medical Scientists: Likelihood Ratio Based Test-Based Methodology presents the data mining techniques with focus on likelihood ratio test (LRT) based methods for signal detection. It emphasizes computational aspect of LRT methodology and is pertinent for first-time researchers and graduate students venturing into this interesting field. The book is written as a reference book for professionals in pharmaceutical industry, manufactures of medical devices, and regulatory agencies. The book deals with the signal detection in drug/device evaluation, which is important in the post-market evaluation of medical products, and in the pre-market signal detection during clinical trials for monitoring procedures. It should also appeal to academic researchers, and faculty members in mathematics, statistics, biostatistics, data science, pharmacology, engineering, epidemiology, and public health. Therefore, this book is well suited for both research and teaching. Key Features: Includes a balanced discussion of art of data structure, issues in signal detection, statistical methods and analytics, and implementation of the methods. Provides a comprehensive summary of the LRT methods for signal detection including the basic theory and extensions for varying datasets that may be large post-market data or pre-market clinical trial data. Contains details of scientific background, statistical methods, and associated algorithms that a reader can quickly master the materials and apply methods in the book on one’s own problems

Book Synopsis Signal Detection for Medical Scientists by : Ram Tiwari

Download or read book Signal Detection for Medical Scientists written by Ram Tiwari and published by CRC Press. This book was released on 2021-06-24 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: Signal Detection for Medical Scientists: Likelihood Ratio Based Test-Based Methodology presents the data mining techniques with focus on likelihood ratio test (LRT) based methods for signal detection. It emphasizes computational aspect of LRT methodology and is pertinent for first-time researchers and graduate students venturing into this interesting field. The book is written as a reference book for professionals in pharmaceutical industry, manufactures of medical devices, and regulatory agencies. The book deals with the signal detection in drug/device evaluation, which is important in the post-market evaluation of medical products, and in the pre-market signal detection during clinical trials for monitoring procedures. It should also appeal to academic researchers, and faculty members in mathematics, statistics, biostatistics, data science, pharmacology, engineering, epidemiology, and public health. Therefore, this book is well suited for both research and teaching. Key Features: Includes a balanced discussion of art of data structure, issues in signal detection, statistical methods and analytics, and implementation of the methods. Provides a comprehensive summary of the LRT methods for signal detection including the basic theory and extensions for varying datasets that may be large post-market data or pre-market clinical trial data. Contains details of scientific background, statistical methods, and associated algorithms that a reader can quickly master the materials and apply methods in the book on one’s own problems

Fundamentals of Statistical Signal Processing: Detection theory

Author: Steven M. Kay

Publisher: Pearson

Published: 1998

Total Pages: 584

ISBN-13:

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V.2 Detection theory -- V.1 Estimation theory.

Book Synopsis Fundamentals of Statistical Signal Processing: Detection theory by : Steven M. Kay

Download or read book Fundamentals of Statistical Signal Processing: Detection theory written by Steven M. Kay and published by Pearson. This book was released on 1998 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: V.2 Detection theory -- V.1 Estimation theory.

Fundamentals of Statistical Signal Processing

Author: Steven M. Kay

Publisher: Pearson Education

Published: 2013

Total Pages: 496

ISBN-13: 013280803X

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"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.

Book Synopsis Fundamentals of Statistical Signal Processing by : Steven M. Kay

Download or read book Fundamentals of Statistical Signal Processing written by Steven M. Kay and published by Pearson Education. This book was released on 2013 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.

Understanding Statistics and Experimental Design

Author: Michael H. Herzog

Publisher: Springer

Published: 2019-08-13

Total Pages: 146

ISBN-13: 3030034992

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This open access textbook provides the background needed to correctly use, interpret and understand statistics and statistical data in diverse settings. Part I makes key concepts in statistics readily clear. Parts I and II give an overview of the most common tests (t-test, ANOVA, correlations) and work out their statistical principles. Part III provides insight into meta-statistics (statistics of statistics) and demonstrates why experiments often do not replicate. Finally, the textbook shows how complex statistics can be avoided by using clever experimental design. Both non-scientists and students in Biology, Biomedicine and Engineering will benefit from the book by learning the statistical basis of scientific claims and by discovering ways to evaluate the quality of scientific reports in academic journals and news outlets.

Book Synopsis Understanding Statistics and Experimental Design by : Michael H. Herzog

Download or read book Understanding Statistics and Experimental Design written by Michael H. Herzog and published by Springer. This book was released on 2019-08-13 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access textbook provides the background needed to correctly use, interpret and understand statistics and statistical data in diverse settings. Part I makes key concepts in statistics readily clear. Parts I and II give an overview of the most common tests (t-test, ANOVA, correlations) and work out their statistical principles. Part III provides insight into meta-statistics (statistics of statistics) and demonstrates why experiments often do not replicate. Finally, the textbook shows how complex statistics can be avoided by using clever experimental design. Both non-scientists and students in Biology, Biomedicine and Engineering will benefit from the book by learning the statistical basis of scientific claims and by discovering ways to evaluate the quality of scientific reports in academic journals and news outlets.

Statistical Theory of Signal Detection

Author: Carl W. Helstrom

Publisher:

Published: 1975

Total Pages:

ISBN-13:

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Book Synopsis Statistical Theory of Signal Detection by : Carl W. Helstrom

Download or read book Statistical Theory of Signal Detection written by Carl W. Helstrom and published by . This book was released on 1975 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: