The Variational Bayes Method in Signal Processing

This is the first book-length treatment of the Variational Bayes (VB) approximation in signal processing. It has been written as a self-contained, self-learning guide for academic and industrial research groups in signal processing, data analysis, machine learning, identification and control. It rev...

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Détails bibliographiques
Cote:Libro Electrónico
Auteurs principaux: Šmídl, Václav (Auteur), Quinn, Anthony (Auteur)
Collectivité auteur: SpringerLink (Online service)
Format: Électronique eBook
Langue:Inglés
Publié: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.
Édition:1st ed. 2006.
Collection:Signals and Communication Technology,
Sujets:
Signal processing.
Telecommunication.
Statistics .
Probabilities.
Application software.
Signal, Speech and Image Processing .
Communications Engineering, Networks.
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Probability Theory.
Computer and Information Systems Applications.
Accès en ligne:Texto Completo
Table des matières:
  • Bayesian Theory
  • Off-line Distributional Approximations and the Variational Bayes Method
  • Principal Component Analysis and Matrix Decompositions
  • Functional Analysis of Medical Image Sequences
  • On-line Inference of Time-Invariant Parameters
  • On-line Inference of Time-Variant Parameters
  • The Mixture-based Extension of the AR Model (MEAR)
  • Concluding Remarks.

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