Blind source separation by independent component analysis applied to electroencephalographic signals
Independent Component Analysis (ICA) is a statistical based method, which goal is to find a linear transformation to apply to an observed multidimensional random vector such that its components become as statistically independent from each other as possible. Usually the Electroencephalographic (EEG)...
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| Other Authors: | , , |
| Format: | conferencePaper |
| Language: | eng |
| Published: |
2003
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| Subjects: | |
| Online Access: | http://hdl.handle.net/1822/2048 |
| Country: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/2048 |