Multivariate Bayesian Statistics: Models for Source Separation and Signal Unmixing by Daniel B. Rowe
English | 25 Nov. 2002 | ISBN: 1584883189 | 323 Pages | PDF | 9 MB
English | 25 Nov. 2002 | ISBN: 1584883189 | 323 Pages | PDF | 9 MB
Of the two primary approaches to the classic source separation problem, only one does not impose potentially unreasonable model and likelihood constraints: the Bayesian statistical approach. Bayesian methods incorporate the available information regarding the model parameters and not only allow estimation of the sources and mixing coefficients, but also allow inferences to be drawn from them.