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The Variational Bayes Method in Signal Processing (Signals and Communication Technology) [Hardcover]

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Item description for The Variational Bayes Method in Signal Processing (Signals and Communication Technology) by Vaclav Smidl & Anthony Quinn...

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 reviews the VB distributional approximation, showing that tractable algorithms for parametric model identification can be generated in off-line and on-line contexts. Many of the principles are first illustrated via easy-to-follow scalar decomposition problems. In later chapters, successful applications are found in factor analysis for medical image sequences, mixture model identification and speech reconstruction. Results with simulated and real data are presented in detail. The unique development of an eight-step "VB method", which can be followed in all cases, enables the reader to develop a VB inference algorithm from the ground up, for their own particular signal or image model.

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Item Specifications...

Pages   227
Est. Packaging Dimensions:   Length: 0.5" Width: 6" Height: 9.5"
Weight:   1.1 lbs.
Binding  Hardcover
Release Date   Dec 16, 2005
Publisher   Springer
ISBN  3540288198  
ISBN13  9783540288190  

Availability  57 units.
Availability accurate as of Oct 26, 2016 03:52.
Usually ships within one to two business days from La Vergne, TN.
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