Multivariate Bayesian Statistics
Models for Source Separation and Signal Unmixing| By: | Daniel B. Rowe |
| Publisher: | Taylor & Francis |
| Print ISBN: | 9780367413347 |
| eText ISBN: | 9781000738186 |
| Edition: | 1 |
| Copyright: | 2002 |
| Format: | Reflowable |
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Table of Contents
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