M-Estimation-Based Subspace Learning for Brain Computer Interfaces.

IEEE Journal of Selected Topics in Signal Processing(2018)

引用 5|浏览10
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摘要
Many problems in signal processing, statistical learning, and data science can be posed as the problem of learning lower dimensional representation of the data. Particularly, we consider the brain computer interface (BCI) application where electroencephalography (EEG) data are used to determine user's intent to type letters through stimulation with rapid serial visual presentations (RSVP). Such a ...
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关键词
Robustness,Principal component analysis,Electroencephalography,Signal processing algorithms,Brain-computer interfaces,Image reconstruction
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