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MATLAB & Simulink Based Books

Multivariate Bayesian Statistics: Models for Source Separation and Signal Unmixing


Multivariate Bayesian Statistics: Models for Source Separation and Signal Unmixing
    Daniel B. Rowe, Medical College of Wisconsin

Chapman & Hall/CRC, 2003
Tel:  800-272-7737
Fax:  800-374-3401

Outside North America
Tel:  407-994-0555
Fax:  407-989-8732

ISBN: 1-58488-318-9
Language: English

     

This text presents the Bayesian statistical approach to the source separation problem. The book begins with an introduction to the source separation problem and statistical material. Other Bayesian models are then introduced, leading to the discussion of the Bayesian Source Separation model with unobservable and observable sources. Then the approach is applied to a particular example in functional magnetic resonance imaging (FMRI).

 


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