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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
Additional Information:
| Title | : Multivariate Bayesian Statistics, Models for Source Separation and Signal Unmixing |
| Author | : Daniel B. Rowe |
| Item ID | : Z3XLBQAAQBAJ |
| Publisher | : CRC Press |
| Type | : BOOK |
| Format File | : PDF & EPUB |
| Android/iOS | : Install “Google Play Books” |
| Page Count | : 352 |
| Category | : Mathematics |
| Published Date | : 2002-11-25 |
| Language | : en |
| Isbn 10 | : 1420035266 |
| Isbn 13 | : 9781420035261 |
| Sale Info | : FOR_SALE |
| Price | : 57.19 EUR |
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