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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Detalles Bibliográficos
Autores principales: Ball, Kenneth, Bigdely-Shamlo, Nima, Mullen, Tim, Robbins, Kay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4909972/
https://www.ncbi.nlm.nih.gov/pubmed/27340397
http://dx.doi.org/10.1155/2016/9754813

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4909972/
https://www.ncbi.nlm.nih.gov/pubmed/27340397
http://dx.doi.org/10.1155/2016/9754813

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