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Generalized optimal spatial filtering using a kernel approach with application to EEG classification
Common spatial patterns (CSP) has been widely used for finding the linear spatial filters which are able to extract the discriminative brain activities between two different mental tasks. However, the CSP is difficult to capture the nonlinearly clustered structure from the non-stationary EEG signals...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer Netherlands
2010
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2974102/ https://ncbi.nlm.nih.gov/pubmed/22132044 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11571-010-9125-x |
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