文献
J-GLOBAL ID:201702214966349050
整理番号:17A0368863
スパース自動符号器と再帰最小二乗適応フィルタのカスケードを用いたEEGからのEOGアーチファクトの除去【Powered by NICT】
Removal of EOG artifacts from EEG using a cascade of sparse autoencoder and recursive least squares adaptive filter
著者 (3件):
Yang Banghua
(Department of Automation, School of Mechatronics Engineering and Automation, Key Laboratory of Power Station Automation Technology, Shanghai University, Shanghai 200072, China)
,
Duan Kaiwen
(Department of Automation, School of Mechatronics Engineering and Automation, Key Laboratory of Power Station Automation Technology, Shanghai University, Shanghai 200072, China)
,
Zhang Tao
(Department of Automation, School of Mechatronics Engineering and Automation, Key Laboratory of Power Station Automation Technology, Shanghai University, Shanghai 200072, China)
資料名:
Neurocomputing
(Neurocomputing)
巻:
214
ページ:
1053-1060
発行年:
2016年
JST資料番号:
W0360A
ISSN:
0925-2312
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)