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PWC-ICA: A Method for Stationary Ordered Blind Source Separation with Application to EEG

Bibliographic Details
Authors and Corporations: Kenneth Ball, Nima Bigdely-Shamlo, Tim Mullen, Kay Robbins
Type of Resource: E-Article
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rft.atitle PWC-ICA: A Method for Stationary Ordered Blind Source Separation with Application to EEG
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rft.date 2016-01-01
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Array ( [rft.au] => Tim Mullen )
Array ( [rft.au] => Kay Robbins )
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spelling Kenneth Ball Nima Bigdely-Shamlo Tim Mullen Kay Robbins 1687-5265 1687-5273 Medizin https://doi.org/10.1155/2016/9754813 PWC-ICA: A Method for Stationary Ordered Blind Source Separation with Application to EEG Computational Intelligence and Neuroscience
spellingShingle Kenneth Ball, Nima Bigdely-Shamlo, Tim Mullen, Kay Robbins, Computational Intelligence and Neuroscience, PWC-ICA: A Method for Stationary Ordered Blind Source Separation with Application to EEG, Medizin
title PWC-ICA: A Method for Stationary Ordered Blind Source Separation with Application to EEG
title_full PWC-ICA: A Method for Stationary Ordered Blind Source Separation with Application to EEG
title_fullStr PWC-ICA: A Method for Stationary Ordered Blind Source Separation with Application to EEG
title_full_unstemmed PWC-ICA: A Method for Stationary Ordered Blind Source Separation with Application to EEG
title_short PWC-ICA: A Method for Stationary Ordered Blind Source Separation with Application to EEG
title_sort pwc-ica: a method for stationary ordered blind source separation with application to eeg
topic Medizin
url https://doi.org/10.1155/2016/9754813