A unified fisher’s ratio learning method for spatial filter optimization
To detect the mental task of interest, spatial filtering has been widely used to enhance the spatial resolution of electroencephalography (EEG). However, the effectiveness of spatial filtering is undermined due to the significant nonstationarity of EEG. Based on regularization, most of the conventio...
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Main Authors: | , , , |
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格式: | Article |
語言: | English |
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2018
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在線閱讀: | https://hdl.handle.net/10356/87702 http://hdl.handle.net/10220/45496 |
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