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An Expectation-Maximization Method for Spatio-Temporal Blind Source Separation Using an AR-MOG Source Model
In this paper, we develop a maximum-likelihood (ML) spatio-temporal blind source separation (BSS) algorithm, where the temporal dependencies are explained by assuming that each source is an autoregressive (AR) process and the distribution of the associated independent identically distributed (i.i.d....
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2008
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2774245/ https://ncbi.nlm.nih.gov/pubmed/18334368 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TNN.2007.914154 |
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