A Generalized Subspace Approach for Estimating Visual Evoked Potentials
A “single-trial” signal subspace approach for extracting visual evoked potential (VEP) from the ongoing “colored” electroencephalogram (EEG) noise is proposed. The algorithm applies the generalized eigendecomposition on the covariance matrices of the VEP and noise to transform them jointly into...
保存先:
| 主要な著者: | , |
|---|---|
| フォーマット: | Conference or Workshop Item |
| 出版事項: |
2008
|
| 主題: | |
| オンライン･アクセス: | http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4650388 http://eprints.utp.edu.my/3895/ |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|