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Bayesian signal processing : classical, modern, and particle filtering methods / James V. Candy

By: Series: Adaptive and learning systems for signal processing, communications, and controlPublication details: Hoboken, N.J. : Wiley : IEEE, 2009Description: xxiii, 445 p. : ill., map ; 25 cmISBN:
  • 9780470180945 (cloth)
  • 0470180943 (cloth)
Subject(s): Online resources:
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.
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Item type Current library Home library Call number Materials specified Copy number Status Date due Barcode
AM PERPUSTAKAAN LINGKUNGAN KEDUA PERPUSTAKAAN LINGKUNGAN KEDUA KOLEKSI AM-P. LINGKUNGAN KEDUA TK5102.9.C359 3 (Browse shelf(Opens below)) 1 Available 00002023912

Includes bibliographical references and index

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.

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