Detection Of Signals In Noise

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Detection of Signals in Noise

Author : Anthony D. Whalen
Publisher : Academic Press
Page : 429 pages
File Size : 48,8 Mb
Release : 2013-09-11
Category : Technology & Engineering
ISBN : 9781483220543

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Detection of Signals in Noise by Anthony D. Whalen Pdf

Detection of Signals in Noise serves as an introduction to the principles and applications of the statistical theory of signal detection. The book discusses probability and random processes; narrowband signals, their complex representation, and their properties described with the aid of the Hilbert transform; and Gaussian-derived processes. The text also describes the application of hypothesis testing for the detection of signals and the fundamentals required for statistical detection of signals in noise. Problem exercises, references, and a supplementary bibliography are included after each chapter. Students taking a graduate course in signal detection theory.

Detection of Signals in Noise

Author : Robert N. McDonough
Publisher : Unknown
Page : 495 pages
File Size : 47,5 Mb
Release : 1995
Category : Science
ISBN : 0127448527

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Detection of Signals in Noise by Robert N. McDonough Pdf

The updated revision to the authors' successful and widely used introduction to the principles and applciation of the statistical theory of signal detection. The book emphasizes those theories that have been found to be particularly useful in practice, including principles applied to detection problems encountered in digital communications, radar, and sonar.

Signal Detection in Non-Gaussian Noise

Author : Saleem A. Kassam
Publisher : Springer Science & Business Media
Page : 244 pages
File Size : 44,5 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781461238348

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Signal Detection in Non-Gaussian Noise by Saleem A. Kassam Pdf

This book contains a unified treatment of a class of problems of signal detection theory. This is the detection of signals in addi tive noise which is not required to have Gaussian probability den sity functions in its statistical description. For the most part the material developed here can be classified as belonging to the gen eral body of results of parametric theory. Thus the probability density functions of the observations are assumed to be known, at least to within a finite number of unknown parameters in a known functional form. Of course the focus is on noise which is not Gaussian; results for Gaussian noise in the problems treated here become special cases. The contents also form a bridge between the classical results of signal detection in Gaussian noise and those of nonparametric and robust signal detection, which are not con sidered in this book. Three canonical problems of signal detection in additive noise are covered here. These allow between them formulation of a range of specific detection problems arising in applications such as radar and sonar, binary signaling, and pattern recognition and classification. The simplest to state and perhaps the most widely studied of all is the problem of detecting a completely known deterministic signal in noise. Also considered here is the detection random non-deterministic signal in noise. Both of these situa of a tions may arise for observation processes of the low-pass type and also for processes of the band-pass type.

Signal Detection Theory

Author : Vyacheslav P. Tuzlukov
Publisher : Springer Science & Business Media
Page : 741 pages
File Size : 40,6 Mb
Release : 2013-03-14
Category : Technology & Engineering
ISBN : 9781461201878

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Signal Detection Theory by Vyacheslav P. Tuzlukov Pdf

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.

Signal Processing Noise

Author : Vyacheslav Tuzlukov
Publisher : CRC Press
Page : 688 pages
File Size : 41,7 Mb
Release : 2018-10-08
Category : Technology & Engineering
ISBN : 9781420041118

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Signal Processing Noise by Vyacheslav Tuzlukov Pdf

Additive and multiplicative noise in the information signal can significantly limit the potential of complex signal processing systems, especially when those systems use signals with complex phase structure. During the last few years this problem has been the focus of much research, and its solution could lead to profound improvements in applications of complex signals and coherent signal processing. Signal Processing Noise sets forth a generalized approach to signal processing in multiplicative and additive noise that represents a remarkable advance in signal processing and detection theory. This approach extends the boundaries of the noise immunity set by classical and modern signal processing theories, and systems constructed on this basis achieve better detection performance than that of systems currently in use. Featuring the results of the author's own research, the book is filled with examples and applications, and each chapter contains an analysis of recent observations obtained by computer modelling and experiments. Tables and illustrations clearly show the superiority of the generalized approach over both classical and modern approaches to signal processing noise. Addressing a fundamental problem in complex signal processing systems, this book offers not only theoretical development, but practical recommendations for raising noise immunity in a wide range of applications.

Signal Detection in Non-gaussian Noise

Author : Saleem A. Kassam,John Bowman Thomas
Publisher : Unknown
Page : 234 pages
File Size : 48,7 Mb
Release : 1988
Category : Signal theory (Telecommunication)
ISBN : 7506213125

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Signal Detection in Non-gaussian Noise by Saleem A. Kassam,John Bowman Thomas Pdf

Introduction to Random Signals and Noise

Author : Wim C. Van Etten
Publisher : John Wiley & Sons
Page : 270 pages
File Size : 47,5 Mb
Release : 2006-02-03
Category : Science
ISBN : 9780470024126

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Introduction to Random Signals and Noise by Wim C. Van Etten Pdf

Random signals and noise are present in many engineering systems and networks. Signal processing techniques allow engineers to distinguish between useful signals in audio, video or communication equipment, and interference, which disturbs the desired signal. With a strong mathematical grounding, this text provides a clear introduction to the fundamentals of stochastic processes and their practical applications to random signals and noise. With worked examples, problems, and detailed appendices, Introduction to Random Signals and Noise gives the reader the knowledge to design optimum systems for effectively coping with unwanted signals. Key features: Considers a wide range of signals and noise, including analogue, discrete-time and bandpass signals in both time and frequency domains. Analyses the basics of digital signal detection using matched filtering, signal space representation and correlation receiver. Examines optimal filtering methods and their consequences. Presents a detailed discussion of the topic of Poisson processes and shot noise. An excellent resource for professional engineers developing communication systems, semiconductor devices, and audio and video equipment, this book is also ideal for senior undergraduate and graduate students in Electronic and Electrical Engineering.

Extraction of Signals from Noise

Author : Lev Alʹbertovich Vaĭnshteĭn,V. D. Zubakov
Publisher : Unknown
Page : 424 pages
File Size : 49,6 Mb
Release : 1970
Category : Technology & Engineering
ISBN : UVA:X001322632

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Extraction of Signals from Noise by Lev Alʹbertovich Vaĭnshteĭn,V. D. Zubakov Pdf

First published in 1962.

Signal Detection Theory

Author : John C. Hancock,Paul A. Wintz
Publisher : Unknown
Page : 264 pages
File Size : 47,8 Mb
Release : 1966
Category : Information theory
ISBN : UOM:39015003404061

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Signal Detection Theory by John C. Hancock,Paul A. Wintz Pdf

Written as a second course for graduate students.

Advanced Theory of Signal Detection

Author : Iickho Song,Jinsoo Bae,Sun Yong Kim
Publisher : Springer Science & Business Media
Page : 403 pages
File Size : 53,5 Mb
Release : 2013-03-09
Category : Technology & Engineering
ISBN : 9783662048597

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Advanced Theory of Signal Detection by Iickho Song,Jinsoo Bae,Sun Yong Kim Pdf

This monograph contains a number of problems with signal detection theory, presenting a generalized observation model for signal detection problems. The model includes several interesting and common special cases, such as those describing additive noise, multiplicative noise and signal-dependent noise.

Principles of Signal Detection and Parameter Estimation

Author : Bernard C. Levy
Publisher : Springer Science & Business Media
Page : 647 pages
File Size : 42,8 Mb
Release : 2008-12-16
Category : Technology & Engineering
ISBN : 9780387765440

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Principles of Signal Detection and Parameter Estimation by Bernard C. Levy Pdf

This textbook provides a comprehensive and current understanding of signal detection and estimation, including problems and solutions for each chapter. Signal detection plays an important role in fields such as radar, sonar, digital communications, image processing, and failure detection. The book explores both Gaussian detection and detection of Markov chains, presenting a unified treatment of coding and modulation topics. Addresses asymptotic of tests with the theory of large deviations, and robust detection. This text is appropriate for students of Electrical Engineering in graduate courses in Signal Detection and Estimation.

Introduction to Sensors for Ranging and Imaging

Author : Graham Brooker
Publisher : SciTech Publishing
Page : 0 pages
File Size : 42,7 Mb
Release : 2015-08-03
Category : Electronic
ISBN : 161353230X

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Introduction to Sensors for Ranging and Imaging by Graham Brooker Pdf

This comprehensive textbook and reference provides a solid background in active sensing technology. Beginning with an introduction to signal generation, filtering, and modulation, it goes through the derivation of the radar range equation, fundamental to the understanding of radar, sonar, and lidar.

Optimal Combining and Detection

Author : Jinho Choi
Publisher : Cambridge University Press
Page : 349 pages
File Size : 40,9 Mb
Release : 2010-01-28
Category : Technology & Engineering
ISBN : 9781139486330

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Optimal Combining and Detection by Jinho Choi Pdf

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.

Detection, Estimation, and Modulation Theory, Part III

Author : Harry L. Van Trees
Publisher : John Wiley & Sons
Page : 647 pages
File Size : 43,9 Mb
Release : 2004-04-07
Category : Technology & Engineering
ISBN : 9780471463818

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Detection, Estimation, and Modulation Theory, Part III by Harry L. Van Trees Pdf

* Paperback reprint of one of the most respected classics in the history of engineering publication * Together with the reprint of Part I and the new Part IV, this will be the most complete treatment of the subject available * Provides a highly-readable discussion of Signal Processing and Noise * Features numerous problems and illustrations to help promote understanding of the topics * Contents are highly applicable to current systems

Communications and Networks

Author : Ian F. Blake,H. Vincent Poor
Publisher : Springer Science & Business Media
Page : 440 pages
File Size : 50,8 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781461249047

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Communications and Networks by Ian F. Blake,H. Vincent Poor Pdf

The areas of communications, computer networks, and signal processing have undergone rapid development over the past several years. The advent of VLSI circuitry and increasingly sophisticated computer hardware and software techniques have made possible the construction of systems and signal proces sors for· communications applications not contemplated only a short time ago. The increasing complexity of communication systems, both by themselves and in land-based or satellite networks, has created a greater need for finding use ful mathematical techniques for their analysis. The rapidly evolving technolo gies involved continue to find exciting new areas for application, and it remains a challenge for researchers to keep abreast of developments. In this volume researchers from a broad cross section of the areas of communications, signal processing, and computer networks have been invited to contribute articles to assist readers in learning about the current state of research and future research directions in their area. The authors were not given tight guidelines for their contributions and thus the character and emphasis of each chapter differs. Although the scope of the areas considered is necessarily limited in a volume of this size, the coverage here is quite broad and it is hoped that the reader will find the contents of this volume to be interesting, useful, and informative.