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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...
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| Gepubliceerd in: | PLoS One |
|---|---|
| Hoofdauteurs: | , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Public Library of Science
2017
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5393591/ https://ncbi.nlm.nih.gov/pubmed/28414814 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0175775 |
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