Download EBOOK Fundamentals of Statistical Signal Processing: Detection Theory v.2: Detection Theory PDF for free
 
Category: Computing
The author of the book: Steven M. Kay
Format files: PDF, EPUB, TXT, DOCX
The size of the: 957 KB
Language: English
ISBN13: 9780135041352
Edition: Prentice Hall
Date of issue: 6 February 1998

Description of the book "Fundamentals of Statistical Signal Processing: Detection Theory v.2: Detection Theory":
The most comprehensive overview of signal detection available. This is a thorough, uptodate introduction to optimizing detection algorithms for implementation on digital computers. It focuses extensively on realworld signal processing applications, including stateoftheart 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, ChiSquared, F, Rayleigh, and Rician PDFs, quadratic forms of Gaussian random variables, asymptotic Gaussian PDFs, and Monte Carlo Performance Evaluations. Three chapters introduce PDF the basics of detection based on simple hypothesis testing, including the NeymanPearson 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 timevarying PSD detection * Complex extensions, vector ePub 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: 0133457117).
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Steven M. Kay
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