An Introduction to Signal Detection and Estimation
An Introduction to Signal Detection and Estimation

Author: H. Vincent Poor

Publisher: Springer Science & Business Media

Published: 2013-06-29

Total Pages: 558

ISBN-13: 1475738633

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The purpose of this book is to introduce the reader to the basic theory of signal detection and estimation. It is assumed that the reader has a working knowledge of applied probabil ity and random processes such as that taught in a typical first-semester graduate engineering course on these subjects. This material is covered, for example, in the book by Wong (1983) in this series. More advanced concepts in these areas are introduced where needed, primarily in Chapters VI and VII, where continuous-time problems are treated. This book is adapted from a one-semester, second-tier graduate course taught at the University of Illinois. However, this material can also be used for a shorter or first-tier course by restricting coverage to Chapters I through V, which for the most part can be read with a background of only the basics of applied probability, including random vectors and conditional expectations. Sufficient background for the latter option is given for exam pIe in the book by Thomas (1986), also in this series.

Principles of Signal Detection and Parameter Estimation
Principles of Signal Detection and Parameter Estimation

Author: Bernard C. Levy

Publisher: Springer Science & Business Media

Published: 2008-07-07

Total Pages: 647

ISBN-13: 0387765425

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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.

Elements of Signal Detection and Estimation
Elements of Signal Detection and Estimation

Author: Carl W. Helstrom

Publisher: Prentice Hall

Published: 1995

Total Pages: 586

ISBN-13: 9780138089405

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This volume provides an introduction to signal-detection theory, a subject fundamental to the design of detectors of weak signals in the presence of random noise, and, in particular, to the design of optimal and near optimal receivers of communication, radar, sonar and optical signals.

Detection and Estimation for Communication and Radar Systems
Detection and Estimation for Communication and Radar Systems

Author: Kung Yao

Publisher: Cambridge University Press

Published: 2013-01-17

Total Pages: 335

ISBN-13: 1139619063

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Covering the fundamentals of detection and estimation theory, this systematic guide describes statistical tools that can be used to analyze, design, implement and optimize real-world systems. Detailed derivations of the various statistical methods are provided, ensuring a deeper understanding of the basics. Packed with practical insights, it uses extensive examples from communication, telecommunication and radar engineering to illustrate how theoretical results are derived and applied in practice. A unique blend of theory and applications and over 80 analytical and computational end-of-chapter problems make this an ideal resource for both graduate students and professional engineers.

Radar Array Processing
Radar Array Processing

Author: Simon Haykin

Publisher: Springer Science & Business Media

Published: 2013-03-08

Total Pages: 326

ISBN-13: 3642773478

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Radar Array Processing presents modern techniques and methods for processingradar signals received by an array of antenna elements. With the recent rapid growth of the technology of hardware for digital signal processing, itis now possible to apply this to radar signals and thus to enlist the full power of sophisticated computational algorithms. Topics covered in detail here include: super-resolution methods of array signal processing as applied to radar, adaptive beam forming for radar, and radar imaging. This book will be of interest to researchers and studentsin the radar community and also in related fields such as sonar, seismology, acoustics and radio astronomy.

Principles of Signal Detection and Parameter Estimation
Principles of Signal Detection and Parameter Estimation

Author: Bernard C. Levy

Publisher: Springer

Published: 2008-11-01

Total Pages: 0

ISBN-13: 9780387568003

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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.

Multidimensional Filter Banks and Wavelets
Multidimensional Filter Banks and Wavelets

Author: Sankar Basu

Publisher: Springer

Published: 1996-12-31

Total Pages: 238

ISBN-13: 0792398483

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Multidimensional Filter Banks and Wavelets: Reserach Developments and Applications brings together in one place important contributions and up-to-date research results in this important area. Multidimensional Filter Banks and Wavelets: Research Developments and Applications serves as an excellent reference, providing insight into some of the most important research issues in the field.

Bayesian Bounds for Parameter Estimation and Nonlinear Filtering/Tracking
Bayesian Bounds for Parameter Estimation and Nonlinear Filtering/Tracking

Author: Harry L. Van Trees

Publisher: Wiley-IEEE Press

Published: 2007-08-31

Total Pages: 951

ISBN-13: 9780470120958

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The first comprehensive development of Bayesian Bounds for parameter estimation and nonlinear filtering/tracking Bayesian estimation plays a central role in many signal processing problems encountered in radar, sonar, communications, seismology, and medical diagnosis. There are often highly nonlinear problems for which analytic evaluation of the exact performance is intractable. A widely used technique is to find bounds on the performance of any estimator and compare the performance of various estimators to these bounds. This book provides a comprehensive overview of the state of the art in Bayesian Bounds. It addresses two related problems: the estimation of multiple parameters based on noisy measurements and the estimation of random processes, either continuous or discrete, based on noisy measurements. An extensive introductory chapter provides an overview of Bayesian estimation and the interrelationship and applicability of the various Bayesian Bounds for both static parameters and random processes. It provides the context for the collection of papers that are included. This book will serve as a comprehensive reference for engineers and statisticians interested in both theory and application. It is also suitable as a text for a graduate seminar or as a supplementary reference for an estimation theory course.