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Advanced Theory of Signal Detection

Advanced Theory of Signal Detection
Author: Iickho Song
Publisher: Springer Science & Business Media
Total Pages: 403
Release: 2013-03-09
Genre: Technology & Engineering
ISBN: 3662048590

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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.


A Primer of Signal Detection Theory

A Primer of Signal Detection Theory
Author: Don McNicol
Publisher: Psychology Press
Total Pages: 249
Release: 2005-01-15
Genre: Psychology
ISBN: 1135604673

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A Primer of Signal Detection Theory is being reprinted to fill the gap in literature on Signal Detection Theory--a theory that is still important in psychology, hearing, vision, audiology, and related subjects. This book is intended to present the methods of Signal Detection Theory to a person with a basic mathematical background. It assumes knowledge only of elementary algebra and elementary statistics. Symbols and terminology are kept at a basic level so that the eventual and hoped for transfer to a more advanced text will be accomplished as easily as possible. Intended for undergraduate students at an introductory level, the book is divided into two sections. The first part introduces the basic ideas of detection theory and its fundamental measures. Its aim is to enable the reader to be able to understand and compute these measures. It concludes with a detailed analysis of a typical experiment and a discussion of some of the problems which can arise for the potential user of detection theory. The second section considers three more advanced topics: threshold theory, the extension of detection theory, and an examination of Thurstonian scaling procedures.


An Introduction to Signal Detection and Estimation

An Introduction to Signal Detection and Estimation
Author: H. Vincent Poor
Publisher: Springer Science & Business Media
Total Pages: 558
Release: 2013-06-29
Genre: Technology & Engineering
ISBN: 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.


Detection Theory

Detection Theory
Author: Ralph D. Hippenstiel
Publisher: CRC Press
Total Pages: 339
Release: 2017-12-19
Genre: Technology & Engineering
ISBN: 1351835947

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Using simplified notation and a practical approach, Detection Theory: Applications and Digital Signal Processing introduces the principles of detection theory, the necessary mathematics, and basic signal processing methods along with some recently developed statistical techniques. Throughout the book, the author keeps the needs of practicing engineers firmly in mind. His presentation and choice of topics allows students to quickly become familiar with the detection and signal processing fields and move on to more advanced study and practice. The author also presents many applications and wide-ranging examples that demonstrate how to apply the concepts to real-world problems.


Detection Theory

Detection Theory
Author: Neil A. Macmillan
Publisher: Psychology Press
Total Pages: 599
Release: 2004-09-22
Genre: Psychology
ISBN: 1135634564

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Detection Theory is an introduction to one of the most important tools for analysis of data where choices must be made and performance is not perfect. Originally developed for evaluation of electronic detection, detection theory was adopted by psychologists as a way to understand sensory decision making, then embraced by students of human memory. It has since been utilized in areas as diverse as animal behavior and X-ray diagnosis. This book covers the basic principles of detection theory, with separate initial chapters on measuring detection and evaluating decision criteria. Some other features include: *complete tools for application, including flowcharts, tables, pointers, and software; *student-friendly language; *complete coverage of content area, including both one-dimensional and multidimensional models; *separate, systematic coverage of sensitivity and response bias measurement; *integrated treatment of threshold and nonparametric approaches; *an organized, tutorial level introduction to multidimensional detection theory; *popular discrimination paradigms presented as applications of multidimensional detection theory; and *a new chapter on ideal observers and an updated chapter on adaptive threshold measurement. This up-to-date summary of signal detection theory is both a self-contained reference work for users and a readable text for graduate students and other researchers learning the material either in courses or on their own.


Detection of Signals in Noise

Detection of Signals in Noise
Author: Anthony D. Whalen
Publisher: Academic Press
Total Pages: 429
Release: 2013-09-11
Genre: Technology & Engineering
ISBN: 1483220540

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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.


A Primer of Signal Detection Theory

A Primer of Signal Detection Theory
Author: D. McNicol
Publisher:
Total Pages: 242
Release: 1972
Genre: Decision making
ISBN: 9780041520071

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The book is divided into two main sections, the first comprising Chapters 1 to 5, and the second, Chapters 6 to 8. The first section introduces the basic ideas of detection theory and its fundamental measures. The aim is to enable the reader to be able to understand and compute these measures. The section ends with a detailed working through of a typical experiment and a discussion of some of the problems which can arise for the potential user of detection theory. The second section considers three more advanced topics. The first of these, which is treated thoroughly elsewhere in the literature, is threshold theory. The second topic concerns the extension of detection theory, which customarily requires experiments using more open-ended procedures, such as recall; and the third topic is an examination of Thurstonian scaling procedures which extend signal detection theory in a number of useful ways.


Principles of Signal Detection and Parameter Estimation

Principles of Signal Detection and Parameter Estimation
Author: Bernard C. Levy
Publisher: Springer Science & Business Media
Total Pages: 647
Release: 2008-07-07
Genre: Technology & Engineering
ISBN: 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.


Fundamentals of Statistical Signal Processing

Fundamentals of Statistical Signal Processing
Author: Steven M. Kay
Publisher: Pearson Education
Total Pages: 496
Release: 2013
Genre: Technology & Engineering
ISBN: 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.