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PWC-ICA: A Method for Stationary Ordered Blind Source Separation with Application to EEG
Independent component analysis (ICA) is a class of algorithms widely applied to separate sources in EEG data. Most ICA approaches use optimization criteria derived from temporal statistical independence and are invariant with respect to the actual ordering of individual observations. We propose a me...
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| Publicado no: | Comput Intell Neurosci |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Hindawi Publishing Corporation
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4909972/ https://ncbi.nlm.nih.gov/pubmed/27340397 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2016/9754813 |
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