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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Bibliografiske detaljer
Udgivet i:Comput Intell Neurosci
Main Authors: Ball, Kenneth, Bigdely-Shamlo, Nima, Mullen, Tim, Robbins, Kay
Format: Artigo
Sprog:Inglês
Udgivet: Hindawi Publishing Corporation 2016
Fag:
Research Article
Online adgang: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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