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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Šmídl, Václav (Συγγραφέας), Quinn, Anthony (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006.
Σειρά:Signals and Communication Technology
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.