Bayesian signal processing : classical, modern, and particle filtering methods /

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Bibliographic Details
Author / Creator:	Candy, James V.
Imprint:	Hoboken, N.J. : Wiley : IEEE, [2009] ©2009
Description:	1 online resource (xxiii, 445 pages) : illustrations, map
Language:	English
Series:	Adaptive and learning systems for signal processing, communications, and control Adaptive and learning systems for signal processing, communications, and control.
Subject:	Signal processing -- Mathematics. Bayesian statistical decision theory. Bayesian statistical decision theory Signal processing -- Mathematics
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/13595719

Hidden Bibliographic Details
ISBN:	9780470430583 0470430583 9781118210543 1118210549 0470180943 9780470180945 9780470430576 0470430575 9780470180945 1282316680 9781282316683
Digital file characteristics:	data file
Notes:	Includes bibliographical references and index. Print version record.
Summary:	New Bayesian approach helps you solve tough problems in signal processing with ease. Signal processing is based on this fundamental conceptthe extraction of critical information from noisy, uncertain data. Most techniques rely on underlying Gaussian assumptions for a solution, but what happens when these assumptions are erroneous? Bayesian techniques circumvent this limitation by offering a completely different approach that can easily incorporate non-Gaussian and nonlinear processes along with all of the usual methods currently available. This text enables readers to fully exploit the many a.
Other form:	Print version: Candy, J.V. Bayesian signal processing. Hoboken, N.J. : Wiley : IEEE, ©2009 9780470180945 0470180943
Standard no.:	10.1002/9780470430583

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