Further processing options
PWC-ICA: A Method for Stationary Ordered Blind Source Separation with Application to EEG
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rft.atitle |
PWC-ICA: A Method for Stationary Ordered Blind Source Separation with Application to EEG |
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article |
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1687-5265 1687-5273 |
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Computational Intelligence and Neuroscience |
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2016-01-01 |
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2016-01-01T00:00:00Z |
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2016 |
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Array ( [rft.au] => Nima Bigdely-Shamlo ) Array ( [rft.au] => Tim Mullen ) Array ( [rft.au] => Kay Robbins ) |
doi |
10.1155/2016/9754813 |
languages |
eng |
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https://doi.org/10.1155/2016/9754813 |
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Medizin |
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author | Kenneth Ball, Nima Bigdely-Shamlo, Tim Mullen, Kay Robbins |
author_facet | Kenneth Ball, Nima Bigdely-Shamlo, Tim Mullen, Kay Robbins, Kenneth Ball, Nima Bigdely-Shamlo, Tim Mullen, Kay Robbins |
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language | English |
last_indexed | 2022-01-05T02:27:39.113Z |
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physical | |
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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 |