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

Author: James V Candy
Publisher: Hoboken, N.J. : Wiley : IEEE, ©2009.
Series: Adaptive and learning systems for signal processing, communications, and control.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:

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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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: James V Candy
ISBN: 9780470180945 0470180943
OCLC Number: 230183299
Description: xxiii, 445 pages : illustrations, map ; 25 cm.
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 --
Probability & statistics overview.
Series Title: Adaptive and learning systems for signal processing, communications, and control.
Responsibility: James V. Candy.
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