Wordt geladen...
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...
Bewaard in:
| Gepubliceerd in: | Comput Intell Neurosci |
|---|---|
| Hoofdauteurs: | , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Hindawi Publishing Corporation
2016
|
| Onderwerpen: | |
| Online toegang: | 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 |
| Tags: |
Voeg label toe
Geen labels, Wees de eerste die dit record labelt!
|