MATLAB & Simulink Based Books

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).