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An algorithm for separation of mixed sparse and Gaussian sources
Independent component analysis (ICA) is a ubiquitous method for decomposing complex signal mixtures into a small set of statistically independent source signals. However, in cases in which the signal mixture consists of both nongaussian and Gaussian sources, the Gaussian sources will not be recovera...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5393591/ https://www.ncbi.nlm.nih.gov/pubmed/28414814 http://dx.doi.org/10.1371/journal.pone.0175775 |