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Cover Art
E-RESOURCE
Author Šmídl, Václav.

Title The variational Bayes method in signal processing [electronic resource] / Václav Šmídl, Anthony Quinn.

Published Berlin ; New York : Springer, c2006.

Copies

Location Call No. Status
 UniM INTERNET resource    AVAILABLE
Physical description 1 online resource (xx, 227 p.) : ill.
Series Signals and communication technology
Signals and communication technology.
Bibliography Includes bibliographical references (p. [217]-224) and index.
Summary "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."--Jacket.
Notes Description based on print version record.
Other author Quinn, Anthony (Anthony Paul)
Subject Signal processing -- Statistical methods.
Bayesian statistical decision theory.
COMPUTERS -- Information Theory.
TECHNOLOGY & ENGINEERING -- Signals & Signal Processing.
Electronic books.
ISBN 9783540288206
3540288201
9786610459070
661045907X
3540288198 (cloth)
9783540288190 (cloth)