Multivariate Bayesian Statistics Models for Source Separation and Signal Unmixing |
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| Author:
| Rowe, Daniel B. |
| ISBN: | 978-1-4200-3526-1 |
| Publication Date: | Nov 2002 |
| Publisher: | CRC Press LLC
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| Imprint: | Chapman & Hall/CRC |
| Book Format: | Ebook |
| List Price: | USD $54.95 |
Book Description:
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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
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