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

Author: J V Candy; Wiley InterScience (Online service)
Publisher: Hoboken, N.J. : Wiley : IEEE, ©2009.
Series: Adaptive and learning systems for signal processing, communications, and control.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Candy, J.V.
Bayesian signal processing.
Hoboken, N.J. : Wiley : IEEE, c2009
(DLC) 2008032184
(OCoLC)230183299
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: J V Candy; Wiley InterScience (Online service)
ISBN: 9780470430583 0470430583 9781118210543 1118210549 0470180943 9780470180945 9780470430576 0470430575
OCLC Number: 463438581
Description: 1 online resource (xxiii, 445 p.) : ill., map.
Contents: Bayestian estimation --
Simulation-based Bayesian methods --
State-space models for Bayesian processing --
Classical Bayesian state-space processors --
Modern Bayesian state-space processors --
Particle-based Bayesian state-space processors --
Joint Bayesian state/parametric processors --
Discrete hidden Markov model Bayesian processors --
Bayesian processors for physics-based applications.
Series Title: Adaptive and learning systems for signal processing, communications, and control.
Responsibility: James V. Candy.
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Abstract:

This book takes the reader from the classical methods of model-based signal processing, to the next generation of processors that will clearly dominate the future of model-based signal processing for  Read more...

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