Signal Detection Theory
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Signal Detection Theory
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Author : Vi͡acheslav Petrovich Tuzlukov
language : en
Publisher: Springer Science & Business Media
Release Date : 2001
Signal Detection Theory written by Vi͡acheslav Petrovich Tuzlukov and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Mathematics categories.
This new text/reference is a comprehensive presentation of fundamental problems for the generalized approach to signal detection theory. New approaches and methods are discussed, as well as experimental results with physical systems. An essential resource for professionals and researchers in electrical engineering and working with modern signal detection problems in radar, communications, wireless communications, acoustics, remote sensing, and geophysical signal processing. The problem of noise immunity is a key problem for complex signal processing systems research in science and engineering. New approaches and problems of such complexity study allows the development of a better quality of signal detection in noise. This book is devoted to a new generalized approach to signal detection theory. The main purpose is to present the basic fundamental concepts of the generalized approach to signal processing in noise and to show how it may be applied in various areas of signal processing. The generalized approach allows extension of the well-known boundaries of the potential noise immunity set up by classical and modern signal detection theories. New approaches for construction of detec
Detection Theory
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Author : Neil A. Macmillan
language : en
Publisher: Psychology Press
Release Date : 2004-09-22
Detection Theory written by Neil A. Macmillan and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-09-22 with Psychology categories.
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.
Advanced Theory Of Signal Detection
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Author : Iickho Song
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09
Advanced Theory Of Signal Detection written by Iickho Song and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-09 with Technology & Engineering categories.
We have some time ago noticed that finding a book dealing with topics in the ad vanced theory and applications of signal detection is not quite an easy matter. This is contrasted with that there are numerous books on the more general subject of de tection and estimation.Frankly, ourexperience and expertise is only on some partial portions of the theory and recent topics of signal detection. This book is therefore meant to include not all the advanced and interesting topics in the theory and appli cations ofsignal detection, butjust onlysome subsets of them: some such important and interesting topics and issues as distributed signal detection and sequential de tection are not considered only due to our limited knowledge and capacity. The goal we have in mind for this book is to present several advanced topics in signal detection theory and thereby help readers gain novel ideas and insights. In this book, we have tried to completely present in a unified way the theme oflocally optimum detection ofsignals in generalized observations. Among our hope is thus that the readers would be able to understand the concepts and fundamentals of a generalized observation model as applied to signal detection problems. This book will also allow the readers, whether they are students, academics, practitioners, or researchers, to have an expanded view on signal detection.
Signal Detection Theory And Roc Analysis In Psychology And Diagnostics
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Author : John A. Swets
language : en
Publisher: Psychology Press
Release Date : 2014-02-25
Signal Detection Theory And Roc Analysis In Psychology And Diagnostics written by John A. Swets and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-25 with Psychology categories.
Signal detection theory--as developed in electrical engineering and based on statistical decision theory--was first applied to human sensory discrimination 40 years ago. The theoretical intent was to provide a valid model of the discrimination process; the methodological intent was to provide reliable measures of discrimination acuity in specific sensory tasks. An analytic method of detection theory, called the relative operating characteristic (ROC), can isolate the effect of the placement of the decision criterion, which may be variable and idiosyncratic, so that a pure measure of intrinsic discrimination acuity is obtained. For the past 20 years, ROC analysis has also been used to measure the discrimination acuity or inherent accuracy of a broad range of practical diagnostic systems. It was widely adopted by methodologists in the field of information retrieval, is increasingly used in weather forecasting, and is the generally preferred method in clinical medicine, primarily in radiology. This book attends to both themes, ROC analysis in the psychology laboratory and in practical diagnostic settings, and to their essential unity. The focus of this book is on detection and recognition as fundamental tasks that underlie most complex behaviors. As defined here, they serve to distinguish between two alternative, confusable stimulus categories, which may be perceptual or cognitive categories in the psychology laboratory, or different states of the world in practical diagnostic tasks. This book on signal detection theory in psychology was written by one of the developers of the theory, who co-authored with D.M. Green the classic work published in this area in 1966 (reprinted in 1974 and 1988). This volume reviews the history of the theory in engineering, statistics, and psychology, leading to the separate measurement of the two independent factors in all discrimination tasks, discrimination acuity and decision criterion. It extends the previous book to show how in several areas of psychology--in vigilance and memory--what had been thought to be discrimination effects were, in reality, effects of a changing criterion. The book shows that data plotted in terms of the relative operating characteristic have essentially the same form across the wide range of discrimination tasks in psychology. It develops the implications of this ROC form for measures of discrimination acuity, pointing up the valid ones and identifying several common, but invalid, ones. The area under the binormal ROC is seen to be supported by the data; the popular measures d' and percent correct are not. An appendix describes the best, current programs for fitting ROCs and estimating their parameters, indices, and standard errors. The application of ROC analysis to diagnostic tasks is also described. Diagnostic accuracy in a wide range of tasks can be expressed in terms of the ROC area index. Choosing the appropriate decision criterion for a given diagnostic setting--rather than considering some single criterion to be natural and fixed--has a major impact on the efficacy of a diagnostic process or system. Illustrated here by separate chapters are diagnostic systems in radiology, information retrieval, aptitude testing, survey research, and environments in which imminent dangerous conditions must be detected. Data from weather forecasting, blood testing, and polygraph lie detection are also reported. One of these chapters describes a general approach to enhancing the accuracy of diagnostic systems.
A Primer Of Signal Detection Theory
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Author : Don McNicol
language : en
Publisher: Psychology Press
Release Date : 2005-01-15
A Primer Of Signal Detection Theory written by Don McNicol and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-01-15 with Psychology categories.
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.
Signal Detection Theory And Psychophysics
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Author : David Marvin Green
language : en
Publisher:
Release Date : 1974
Signal Detection Theory And Psychophysics written by David Marvin Green and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1974 with Signal detection (Psychology) categories.
Signal Detection Theory And Roc Analysis
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Author : James P. Egan
language : en
Publisher:
Release Date : 1975
Signal Detection Theory And Roc Analysis written by James P. Egan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1975 with Education categories.
Detection Theory
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Author : Neil A. Macmillan
language : en
Publisher: CUP Archive
Release Date : 1991-01-25
Detection Theory written by Neil A. Macmillan and has been published by CUP Archive this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991-01-25 with Psychology categories.
Detection Theory
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Author : Ralph D. Hippenstiel
language : en
Publisher: CRC Press
Release Date : 2017-12-19
Detection Theory written by Ralph D. Hippenstiel and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-19 with Technology & Engineering categories.
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.
A Quantitative Tour Of The Social Sciences
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Author : Andrew Gelman
language : en
Publisher: Cambridge University Press
Release Date : 2009-04-06
A Quantitative Tour Of The Social Sciences written by Andrew Gelman and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-06 with Social Science categories.
Social scientists become experts in their own disciplines but aren't always familiar with what is going on in neighboring fields. To foster a deeper understanding of the interconnection of the social sciences, economists should know where historical data come from, sociologists should know how to think like economists, political scientists would benefit from understanding how models are tested in psychology, historians should learn how political processes are studied, psychologists should understand sociological theories, and so forth. This overview by prominent social scientists gives an accessible, non-technical sense of how quantitative research is done in different areas. Readers will find out about models and ways of thinking in economics, history, sociology, political science, and psychology, which in turn they can bring back to their own work.