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