Загрузка...
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...
Сохранить в:
| Опубликовано в: : | Comput Intell Neurosci |
|---|---|
| Главные авторы: | , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Hindawi Publishing Corporation
2016
|
| Предметы: | |
| Online-ссылка: | 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 |
| Метки: |
Добавить метку
Нет меток, Требуется 1-ая метка записи!
|