Fundamentals of Statistical Signal Processing - Detection Theory, Volume 2 (Hardcover, Reissue)

This book focuses on techniques for obtaining optimal detection algorithms for implementation on digital computers.KEY TOPICS:The book explains statistical and signal processing in the context of numerous practical examples, focusing on current detection applications - especially problems in speech and communications. The book makes extensive use of MATLAB, and program listings are included wherever appropriate. Topics covered include: probability density functions and properties; statistical decision theory for both deterministic and random signals; signals with unknown parameters; white and colored Gaussian noise; non-Gaussian noise; detectors; model change detection; complex extensions; vector generalization and array processing. This is the perfect companion to Fundamentals of Statistical Signal Processing, Vol. 1: Estimation Theory.MARKET:For practicing electrical engineers building detectors for real-world applications. Also for electronics students and researchers.

General

Imprint:	Pearson
Country of origin:	United States
Release date:	1998
First published:	1998
Authors:	Steven Kay
Dimensions:	241 x 183 x 36mm (L x W x T)
Format:	Hardcover
Pages:	576
Edition:	Reissue
ISBN-13:	978-0-13-504135-2
Categories:	Books > Computing & IT > Applications of computing > Signal processing Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General
LSN:	0-13-504135-X
Barcode:	9780135041352

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