19 Jun 2009
By Daniel B. Rowe. 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).