ISBN: 9783642066900 - the variational bayes method in signal processing (16 risultati)

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Condizione: New. pp. 248.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This is the first book-length treatment of the Variational Bayes (VB) approximation in signal processing. Ithas 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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Taschenbuch. Condizione: Neu. The Variational Bayes Method in Signal Processing | Václav ¿Mídl (u. a.) | Taschenbuch | Signals and Communication Technology | xx | Englisch | 2010 | Springer | EAN 9783642066900 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Condizione: new. Questo è un articolo print on demand.

PF. Condizione: New. This item is printed on demand. Brand new book, sourced directly from publisher. Dispatch time is 6-7 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This is the first book-length treatment of the Variational Bayes (VB) approximation in signal processing. Ithas 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. 248 pp. Englisch.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Synthesizes the Variational Bayes (VB) method of distributional approximation into eight clear steps ( the VB method ). When these are followed, the reader is equipped with the means to check if their model is amenable to this approximation, and to devel.…

Condizione: New. Print on Demand pp. 248 65 Illus.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 248 pp. Englisch.…

Condizione: New. PRINT ON DEMAND pp. 248.