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Author : Robert Daniel Tennent,University of Toronto. Theses (M.Sc.)
Publisher : Unknown
Page : 112 pages
File Size : 41,9 Mb
Release : 1968
Category : Perception
ISBN : OCLC:223412727
Author : Anthony D. Whalen
Publisher : Academic Press
Page : 428 pages
File Size : 47,9 Mb
Release : 2013-09-11
Category : Technology & Engineering
ISBN : 9781483220543
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.
Author : Saleem A. Kassam
Publisher : Springer Science & Business Media
Page : 244 pages
File Size : 46,5 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781461238348
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.
Author : Vyacheslav P. Tuzlukov
Publisher : Springer Science & Business Media
Page : 741 pages
File Size : 41,7 Mb
Release : 2013-03-14
Category : Technology & Engineering
ISBN : 9781461201878
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.
Author : Robert N. McDonough
Publisher : Unknown
Page : 495 pages
File Size : 46,6 Mb
Release : 1995
Category : Science
ISBN : 0127448527
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.
Author : Iickho Song,Jinsoo Bae,Sun Yong Kim
Publisher : Springer Science & Business Media
Page : 403 pages
File Size : 43,5 Mb
Release : 2013-03-09
Category : Technology & Engineering
ISBN : 9783662048597
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.
Author : Don McNicol
Publisher : Psychology Press
Page : 249 pages
File Size : 45,8 Mb
Release : 2005-01-15
Category : Psychology
ISBN : 9781135604677
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.
Author : David Marvin Green,John A. Swets,John Arthur Swets
Publisher : Unknown
Page : 504 pages
File Size : 45,8 Mb
Release : 1974
Category : Signal detection (Psychology).
ISBN : STANFORD:36105038591595
Author : Vyacheslav Tuzlukov
Publisher : CRC Press
Page : 688 pages
File Size : 46,6 Mb
Release : 2018-10-08
Category : Technology & Engineering
ISBN : 9781420041118
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.
Author : Saleem A. Kassam,John Bowman Thomas
Publisher : Unknown
Page : 234 pages
File Size : 55,9 Mb
Release : 1988
Category : Signal theory (Telecommunication)
ISBN : 7506213125
Author : Wei Ji Ma,Konrad Paul Kording,Daniel Goldreich
Publisher : MIT Press
Page : 409 pages
File Size : 51,7 Mb
Release : 2023-08-08
Category : Science
ISBN : 9780262372824
An accessible introduction to constructing and interpreting Bayesian models of perceptual decision-making and action. Many forms of perception and action can be mathematically modeled as probabilistic—or Bayesian—inference, a method used to draw conclusions from uncertain evidence. According to these models, the human mind behaves like a capable data scientist or crime scene investigator when dealing with noisy and ambiguous data. This textbook provides an approachable introduction to constructing and reasoning with probabilistic models of perceptual decision-making and action. Featuring extensive examples and illustrations, Bayesian Models of Perception and Action is the first textbook to teach this widely used computational framework to beginners. Introduces Bayesian models of perception and action, which are central to cognitive science and neuroscience Beginner-friendly pedagogy includes intuitive examples, daily life illustrations, and gradual progression of complex concepts Broad appeal for students across psychology, neuroscience, cognitive science, linguistics, and mathematics Written by leaders in the field of computational approaches to mind and brain
Author : John C. Hancock,Paul A. Wintz
Publisher : Unknown
Page : 264 pages
File Size : 55,6 Mb
Release : 1966
Category : Information theory
ISBN : UOM:39015002114240
Written as a second course for graduate students.
Author : Tim Bayne,Axel Cleeremans,Patrick Wilken
Publisher : Oxford University Press
Page : 701 pages
File Size : 48,5 Mb
Release : 2009-06-04
Category : Philosophy
ISBN : 9780198569510
Consciousness is undoubtedly one of the last remaining scientific mysteries and hence one of the greatest contemporary scientific challenges. How does the brain's activity result in the rich phenomenology that characterizes our waking life? Are animals conscious? Why did consciousness evolve? How does science proceed to answer such questions? Can we define what consciousness is? Can we measure it? Can we use experimental results to further our understanding of disorders of consciousness, such as those seen in schizophrenia, delirium, or altered states of consciousness? These questions are at the heart of contemporary research in the domain. Answering them requires a fundamentally interdisciplinary approach that engages not only philosophers, but also neuroscientists and psychologists in a joint effort to develop novel approaches that reflect both the stunning recent advances in imaging methods as well as the continuing refinement of our concepts of consciousness. In this light, the Oxford Companion to Consciousness is the most complete authoritative survey of contemporary research on consciousness. Five years in the making and including over 250 concise entries written by leaders in the field, the volume covers both fundamental knowledge as well as more recent advances in this rapidly changing domain. Structured as an easy-to-use dictionary and extensively cross-referenced, the Companion offers contributions from philosophy of mind to neuroscience, from experimental psychology to clinical findings, so reflecting the profoundly interdisciplinary nature of the domain. Particular care has been taken to ensure that each of the entries is accessible to the general reader and that the overall volume represents a comprehensive snapshot of the contemporary study of consciousness. The result is a unique compendium that will prove indispensable to anyone interested in consciousness, from beginning students wishing to clarify a concept to professional consciousness researchers looking for the best characterization of a particular phenomenon.
Author : Stephen W. Link
Publisher : Routledge
Page : 390 pages
File Size : 49,7 Mb
Release : 2020-03-09
Category : Psychology
ISBN : 9780429622212
Two experimental procedures prompted the empirical development of psychophysical models: those that measure response frequency, often referred to as response probability; and those that measure response time, sometimes referred to as reaction time. The history of psychophysics is filled with theories that predict one or the other of these two responses. Yet the persistent reappearance of empirical relationships between these two measures of performance makes clear the need for a theory that both predicts and relates these two measures. Most likely, both response measures are the result of a single process that generates empirical laws relating response time and response probability. It is this process — its theory, description, and application — that is the topic of The Wave Theory of Difference and Similarity. Originally published in 1992, the author of this book has set out to provide a theoretical foundation for formulating new theories that systematize earlier results and to stimulate new concepts and introduce new tools for exploring mental phenomena and improving mental measurement.
Author : Bradford H. Challis,Boris Mitrofanovich Velichkovski?
Publisher : John Benjamins Publishing
Page : 304 pages
File Size : 54,5 Mb
Release : 1999-01-01
Category : Psychology
ISBN : 9789027251350
The notion of stratification has played an important role in linguistics and evolutionary studies for some time, but its role in cognitive science has not yet been well articulated and identified. What is meant by stratification? What is the role and value of stratification in the contemporary study of cognition and consciousness? This collective volume speaks to these questions. The twelve articles in the book cover a range of relevant issues including (a) the vertical dimension and modularity of visual processing, search and attention, (b) the stratification of encoding and retrieval processes in memory, (c) the hierarchical nature of conscious and unconscious components of memory, and (d) the levels of awareness and varieties of conscious experience. The volume presents stimulating and self-contained articles for researchers and students of experimental psychology and neuroscience, and is suitable for an advanced university course. (Series B)