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Fundamentals of Statistical Signal Processing, Volume II: Detection Theory by Steven Kay (Hardcover, 1998)

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50413-4 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. Start with a quick review of the fundamental issues associated with mathematical detection, as well as the most important probability density functions and their properties. Next, review Gaussian, Chi-Squared, F, Rayleigh, and Rician PDFs, quadratic forms of Gaussian random variables, asymptotic Gaussian PDFs, and Monte Carlo Performance Evaluations. Three chapters introduce the basics of detection based on simple hypothesis testing, including the Neyman-Pearson Theorem, handling irrelevant data, Bayes Risk, multiple hypothesis testing, and both deterministic and random signals. The author then presents exceptionally detailed coverage of composite hypothesis testing to accommodate unknown signal and noise parameters. These chapters will be especially useful for those building detectors that must work with real, physical data. Other topics covered include: * Detection in nonGaussian noise, including nonGaussian noise characteristics, known deterministic signals, and deterministic signals with unknown parameters * Detection of model changes, including maneuver detection and time-varying PSD detection * Complex extensions, vector generalization, and array processing The book makes extensive use of MATLAB, and program listings are included wherever appropriate. Designed for practicing electrical engineers, researchers, and advanced students, it is an ideal complement to Steven M. Kay's Fundamentals of Statistical Signal Processing, Vol. 1: Estimation Theory (Prentice Hall PTR, 1993, ISBN: 0-13-345711-7).

Product Identifiers

Publisher
Pearson Education (US)
ISBN-13
9780135041352
eBay Product ID (ePID)
95064787

Product Key Features

Author
Steven Kay
Publication Name
Fundamentals of Statistical Signal Processing, Volume II: Detection Theory
Format
Hardcover
Language
English
Subject
Computer Science
Publication Year
1998
Type
Textbook
Number of Pages
576 Pages

Dimensions

Item Height
241mm
Item Width
183mm
Item Weight
1120g

Additional Product Features

Title_Author
Steven Kay
Country/Region of Manufacture
United States

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Fundamentals of Statistical Signal Processing, Volume II: Detection Theory by Steven Kay (Hardcover, 1998)

About this product

Product Information

Product Identifiers

Product Key Features

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Additional Product Features

Best Selling in Adult Learning & University

The Weed Forager's Handbook: A Guide to Edible and Medicinal Weeds in Australia by Adam Grubb, Annie Raser-Rowland (2012, Paperback)

Australian Native Bee Book: Keeping Stingless Bee Hives for Pets, Pollination and Sugarbag Honey by Tim Heard (Paperback, 2015)

The Falsification of History: Our Distorted Reality by John Hamer (Paperback, 2013)

Permaculture: A Designer's Manual by Bill Mollison (Hardcover, 1988)

In-Basket Case Studies by Guy Adamson (Paperback, 1986)

Empire of the Summer Moon: Quanah Parker and the Rise and Fall of the Comanches, the Most Powerful Indian Tribe in American History by S.C. Gwynne (Paperback, 2011)

Botanical Field Guide by Stefan Mager (Fold-out book or chart, 2021)

Save on Adult Learning & University

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The Red Book: Liber Novus by Carl Gustav Jung (English) Hardcover Book

Sally Fallon Morell Thomas S. Cowan The Contagion Myth (Hardback) (US IMPORT)

Steven Holzner Physics Essentials For Dummies (Paperback)

Havard's Nursing Guide to Drugs

T. Jared Bunch Matthew LaPlante John D. Day The AFib Cure (Paperback)

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