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

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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...

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Détails bibliographiques
Cote:Libro Electrónico
Auteur principal: Candy, James V.
Format: Électronique eBook
Langue:Inglés
Publié: Hoboken, N.J. : Wiley : IEEE, [2009]
Collection:Adaptive and learning systems for signal processing, communications, and control.
Sujets:
Signal processing > Mathematics.
Bayesian statistical decision theory.
Traitement du signal > Mathématiques.
Théorie de la décision bayésienne.
COMPUTERS > Information Theory.
TECHNOLOGY & ENGINEERING > Signals & Signal Processing.
Accès en ligne:Texto completo (Requiere registro previo con correo institucional)
Table des matières:
  • 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.

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