2 edition of Signal detection theory found in the catalog.
Signal detection theory
John C. Hancock
|Statement||[by] John C. Hancock [and] Paul A. Wintz.|
|Series||Purdue electrical engineering series, McGraw-Hill electronic sciences series|
|Contributions||Wintz, Paul A. joint author.|
|LC Classifications||TK5102.5 .H3|
|The Physical Object|
|Pagination||viii, 247 p.|
|Number of Pages||247|
|LC Control Number||66019462|
Signal detection theory is used to explain how a person makes a decision; how a person responds to a signal. Signal detection theory. A method of assessing the decision making process for someone who decides between different classes of items and their bias to favor a particular type of response. 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:
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. Signal detection theory Leave a reply I used material from Ken Hammond in his book Human Judgment and Social Policy, Irreducible Uncertainty, Inevitable .
As Jeff reads his psychology book he is able to convert waves into signals that his brain can interpret due to the concept of A. Transduction B. Perception C. Priming D. Signal detection theory E. Threshold. The theory of signal detection theory evolved from the development of communications and radar equipment the first half of this century. It migrated to psychology, initially as part of sensation and perception, in the 50's and 60's as an attempt to understand some of the features of human behavior when detecting very faint stimuli that were not.
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"The book is devoted to a new generalized approach to signal detection theory, both general methods and experimental results with physical systems. It contains seven chapters. In the first one a brief description of the basic tenets of classical detection theory is given.
Cited by: Detection theory has been applied to a host Signal detection theory book varied problems (for example, measuring the accuracy of diagnostic systems, survey research, reliability of lie detection tests) and extends far beyond the detection of signals.
This book is a primer on signal detection theory, useful for both undergraduates and graduate by: 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.
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 by: I would suggest that you use on-line tutorials on the subject first (Introduction and tutorial material) and then delve into the book.
There are some excellent hands on, live, Java script ROC Graphs, on the net with which to learn from. Search on the keywords Signal Detection Theory and ROC D'Prime.
Recommended but now probably hard to by: N.A. Macmillan, in International Encyclopedia of the Social & Behavioral Sciences, Signal detection theory (SDT) is a framework for interpreting data from experiments in which accuracy is measured.
In such experiments, two or more stimulus classes (signal and noise in a detection experiment, old and new items in a memory task) are sampled repeatedly, and an observer must. Purchase Statistical Theory of Signal Detection - 2nd Edition. Print Book & E-Book. ISBNSignal detection theory, as its name implies, is the mathematical theory used to optimally detect signals embedded in noise.
If the noise is a random variable with a known probability distribution, then it is possible to exploit this knowledge to determine an optimal method of detecting the signal. Try the new Google Books. Check out the new look and enjoy easier access to your favorite features. Try it now.
No thanks. Try the new Google Books. Get print book. No eBook available. ; Barnes&; Books-A-Million Signal detection theory and psychophysics. I also missed some computer-based exercises; it would have been great to see the beauty of detection and estimation theory at work.
If you have some familiarity with the topic you will undoubtedly enjoy this book, but if you are a student tackling with this for the first time it will be demanding by: Signal Detection Theory. Authors (view affiliations) Vyacheslav P.
Tuzlukov At the present time there are many books and periodical articles devoted to signal detection, but many important problems remain to be solved. but also to improve the quality of signal detection in noise.
This book is devoted to fundamental problems in the. Additional Physical Format: Online version: Green, David Marvin, Signal detection theory and psychophysics. New York: Wiley, (OCoLC) 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. 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.
Book Description. 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.
"The book is devoted to a new generalized approach to signal detection theory, both general methods and experimental results with physical systems.
It contains seven chapters. In the first one a brief description of the basic tenets of classical detection theory is given. Introduction to Detection Theory (cont.) We wish to make a decision on a signal of interest using noisy measurements.
Statistical tools enable systematic solutions and optimal design. Application areas include: • Communications, • Radar and sonar, • Nondestructive evaluation (NDE) of materials, • Biomedicine, etc.
Books Modern Spectral Estimation: Theory and Application, Prentice Hall, Fundamentals of Statistical Signal Processing, Vol.
I - Estimation Theory Prentice Hall, Fundamentals of Statistical Signal Processing, Vol II - Detection Theory, Prentice Hall, (matlab file downloadable).
Detection Theory is an introduction to one of the most important tools for analysis of data where as diverse as animal behavior and X-ray book covers the basic principles of detection theory, with separate initial chapters on measuring detection and evaluating decision up-to-date summary of signal detection theory is both.
The book provides extensive advice on the implications of SDT for research design. Thus, it may have greater utility than Green and Swets for readers who are more interested in practical issues than in the statistical theory behind SDT.
McNicol, D. A primer of signal detection theory. London: Allen & Unwin. E-mail Citation». Signals, Sound, and Sensation is a text about signals, audio, acoustics, and mainly psychoacoustics.
It assumes that the reader is comfortable with elementary calculus. It can be purchased from: Springer-Verlag Meadowlands Parkway. 1 thought on “ Signal Detection Theory in Real Life ” Young Jun Chang April 3, at pm.
The thing I realized after I learned about Signal Detection Theory was I have had many experiences that are related in real life.
The most common example is when I am waiting for some important phone call and I am taking a shower, water noise.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.”.