Advanced Theory of Signal Detection

Weak Signal Detection in Generalized Observations by Iickho Song

Publisher: Springer Berlin Heidelberg in Berlin, Heidelberg

Written in English
Cover of: Advanced Theory of Signal Detection | Iickho Song
Published: Pages: 395 Downloads: 653
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About the Edition

This book contains a number of problems of signal detection theory. A generalized observation model for signal detection problems is included. The model includes several interesting and common special cases such as those describing additive noise, multiplicative noise, and signal-dependent noise. The model can also describe composite signals in addition to the usual known (deterministic) signals and random (stochastic) signals. Locally optimum (LO) and locally optimum rank (LOR) detectors for known and random signals in the model are discussed, and original results are obtained. Other approaches to detection of signals are also discussed.

Edition Notes

Statementby Iickho Song, Jinsoo Bae, Sun Yong Kim
SeriesSignals and Communication Technology, Signals and Communication Technology
ContributionsBae, Jinsoo, Kim, Sun Yong
LC ClassificationsTK5102.9, TA1637-1638, TK7882.S65
The Physical Object
Format[electronic resource] :
Pagination1 online resource (xii, 395 p.)
Number of Pages395
ID Numbers
Open LibraryOL27014698M
ISBN 103642077080, 3662048590
ISBN 109783642077081, 9783662048597

Start studying Signal Detection Theory. Learn vocabulary, terms, and more with flashcards, games, and other study tools. Nov 14,  · He provides detailed descriptions of signal processing techniques for detection and direction finding, including specific direction-finding algorithms, geolocation techniques, and signal estimation. The book, the seventh in the MIT Lincoln Laboratory Series, is a resource for engineers developing RF communication systems and a comprehensive. This chapter presents techniques for processing LADAR data to accomplish the tasks of detection and range estimation. Section introduces the theory of Bayesian reasoning for making an optimal detection decision from a single photocount measurement. The decision process requires criteria for making the decision, which is discussed in Sec. Author: Richard D. Richmond, Stephen C. Cain. tion of signal detection theory to decision-making in forensic science. J Forensic Sci ;46(2)– ABSTRACT: Signal Detection Theory (SDT) has come to be used in a wide variety of fields where noise and imperfect signals present challenges to the task of separating hits and correct rejections from misses and false alarms.

This book is an accessible guide to adaptive signal processing methods that equips the reader with advanced theoretical and practical tools for the study and development of circuit structures and provides robust algorithms relevant to a wide variety of application. The most comprehensive overview of signal detection available. This is a thorough, up-to-date introduction to optimizing detection algorithms for implementation on digital computers. It focuses extensively on real-world signal processing applications, including state-of-the-art speech and communications technology as well as traditional sonar/radar systems. This chapter introduces the basic detection task: an observer receives a stimulus (in any sensory domain) that may or may not contain a weak signal and must decide whether the signal is present or not. The key elements of a mathematical model for this situation based on statistical decision theory are described. Signal detection theory is often just called detection theory; other names include “hypothesis testing” and “decision theory”. Detection theory has been applied to a broad range of physiological responses, with an immense influence on by:

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Advanced Theory of Signal Detection by Iickho Song Download PDF EPUB FB2

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

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 sofianatsouli.comy, ourexperience and.

Get this from a library. Advanced theory of signal detection: weak signal detection in generalized observations. [Iickho Song; Jinsoo Bae; Sun Yong Ki] -- Taking as its primary concern various problems with signal detection theory, this text presents a generalized observation model for signal detection problems.

It includes common special cases and. Books Advanced Search New Releases Amazon Charts Best Sellers & More The New York Times® Best Sellers Children's Books Textbooks Textbook Rentals Sell Us Your Books Best Book Language.

English; Book Format. Hardcover; Kindle Edition Signal Detection Theory and Psychophysics. by David Marvin Green and John A.

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.

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.

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Jan 15,  · 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 by: Detection theory or signal detection theory is a means to measure the ability to differentiate between information-bearing patterns (called stimulus in living organisms, signal in machines) and random patterns that distract from the information (called noise, consisting of background stimuli and random activity of the detection machine and of the nervous system of the operator).

Jul 19,  · Signal detection theory (SDT) represented a great leap forward in the thinking about sensory phenomena and how to measure them. Given two stimuli and two responses, there are two ways to be correct and two ways to be wrong. The design is sometimes called a yes/no study and is analogous to the “A‐not‐A” test.

Get this from a library. Advanced Theory of Signal Detection: Weak Signal Detection in Generalized Observations. [Iickho Song; Jinsoo Bae; Sun Yong Kim] -- This book contains a number of problems of signal detection theory. A generalized observation model for signal detection problems is included.

The model includes several interesting and common. • IV – Signal Detection Theory: Advanced Who is that person. Close-up, George Bush and from far away, Tony Blair. Depending on the distance of viewing (or the size of the image), you will see one face or the other.

Here the distribution of “face features” of Bush and Laboratory in Visual Cognition. 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. Nov 11,  · Signal Detection Theory Item Preview remove-circle Advanced embedding details, examples, and help. favorite. share. flag. Flag this item for.

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Sep 27,  · Detection, Estimation, and Modulation Theory: Detection, Estimation, and Linear Modulation Theory. Author(s): About this book. Highly readable paperback reprint of one of the great time-tested classics in the field of signal processing.

In this video I explain how signal detection theory relates to psychophysics and the study of absolute and difference thresholds.

I also explain how response criteria play a role in signal detection theory and the possibility of type I and type II errors.

Signal Detection Theory: In the s, with the combining of detection theory on the one hand and statistical decision theory on the other, we made a major theoretical advance in understanding human detection performance.

As in the high threshold model, detection performance is based on a sensory process and a decision process. The sensory. Signal processing is an electrical engineering subfield that focuses on analysing, modifying and synthesizing signals such as sound, images and biological measurements.

Signal processing techniques can be used to improve transmission, storage efficiency and subjective quality and to also emphasize or detect components of interest in a measured signal.

Signal Detection Theory Professor David Heeger November 12, The starting point for signal detection theory is that nearly all decision making takes place in the presence of some uncertainty. Signal detection theory provides a precise lan-guage and graphic notation for analyzing decision making in the presence of uncertainty.

Simple Forced. Ever since the threshold detection theory has first been studied early in the last century, numerous authors have extended the theory in various directions.

Therefore, we can certainly find many interesting studies on various detection schemes for either random or known signals from some early studies to more recent Iickho Song, Jinsoo Bae, Sun Yong Kim.

Oct 22,  · Statistical Theory of Signal Detection, Second Edition provides an elementary introduction to the theory of statistical testing of hypotheses that is related to the detection of signals in radar and communications technology. This book presents a comprehensive survey of Book Edition: 2.

This collection illustrates how signal-detection theory, first advanced to account for performance in threshold-level sensory discrimination, has broadened to encompass a variety of psychological problems involving discriminations between confusable stimuli.

What they found was that the sensory sensitivity was a relationship between the strength of the signal and the level of alertness, and thus, signal detection theory was born. Signal Detection. Designed for practicing electrical engineers, researchers, and advanced students, this text is a thorough, up-to-date introduction to optimizing detection algorithms for implementation on digital computers.

It focuses extensively on real-world signal. Intelligence Analysis: Behavioral and Social Scientific Foundations () Chapter: 4 Use of Signal Detection Theory as a Tool for Enhancing Performance and Evaluating Tradecraft in Intelligence Analysis--Gary H.

McClelland. The theme of the thesis is Advanced Signal Processing Techniques for Pulsed-Doppler Radar. As the title suggests, the paper deals with techniques, from a very low level point of view, that allow a radar to detect a target, estimate its parameters and track it in a noisy environment.

Signal Detection: Summary and Follow Up Questions. Signal Detection Theory (SDT) allows an analyst to separate sensitivity from response bias. Observers are assumed to make decisions based upon information derived from two distributions.

The first (Signal Absent) is assumed to represent a background level of “noise.”. Signal detection theory attempts to understand the role that decision making plays in these situations.

Examine the situation above a little more carefully. All the possible outcomes are shown in Table 1(a). In the real world, the stimulus event does not always occur. So it .Signal detection theory describes how an observer makes decisions about weak, uncertain, or ambiguous events or signals.

It is widely applied in psychology, medicine, and other related fields. This book describes the theory, explains its mathematical basis, and shows how to separate the observer's sensitivity to a signal from his or her tendency to say “yes” or “no.”.signal detection theory can be applied, the range of applications possible, or the limitations of signal detection theory.

This paper briefly summarizes the assumptions of signal detection theory and describes the procedures, the limi-tations, and practical considerations relevant to its application.

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