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 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 se…
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Produktdetails
Weitere Autoren: smídl, Václav
- ISBN: 978-3-540-28820-6
- EAN: 9783540288206
- Produktnummer: 12824009
- Verlag: Springer-Verlag GmbH
- Sprache: Englisch
- Erscheinungsjahr: 2006
- Plattform: PDF
- Masse: 3'860 KB
- Auflage: 2006
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