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	EOG Artifacts Reduction from EEG Based on Deep Network and Recursive Least Squares Adaptive Filter
	Yang, Banghua[1]; Duan, Kaiwen[2]; Zhang, Tao[3]; Zhang, Yonghuai[4]
	2016
会议名称	Joint Conference of the 16th Asia Simulation Conference / SCS International Autumn Simulation Multi-Conference (AsiaSim/SCS AutumnSim)
会议日期	2016-01-01
关键词	Electrooculogram (EOG) Electroencephalogram (EEG) Deep Network (DN) Recursive Least Squares adaptive (RLS) filtering
页码	412-421
URL标识	查看原文
内容类型	会议论文
URI标识	http://www.corc.org.cn/handle/1471x/2227066
专题	上海大学
作者单位	1.[1]Shanghai Univ, Key Lab Power Stn Automat Technol, Coll Mechatron Engn & Automat, Dept Automat, Shanghai 200072, Peoples R China. 2.Shanghai Shenwei Elect Technol Co LTD, Shanghai 200444, Peoples R China. 3.[2]Shanghai Univ, Key Lab Power Stn Automat Technol, Coll Mechatron Engn & Automat, Dept Automat, Shanghai 200072, Peoples R China. 4.[3]Shanghai Univ, Key Lab Power Stn Automat Technol, Coll Mechatron Engn & Automat, Dept Automat, Shanghai 200072, Peoples R China. 5.[4]Shanghai Shenwei Elect Technol Co LTD, Shanghai 200444, Peoples R China.
推荐引用方式 GB/T 7714	Yang, Banghua[1],Duan, Kaiwen[2],Zhang, Tao[3],et al. EOG Artifacts Reduction from EEG Based on Deep Network and Recursive Least Squares Adaptive Filter[C]. 见:Joint Conference of the 16th Asia Simulation Conference / SCS International Autumn Simulation Multi-Conference (AsiaSim/SCS AutumnSim). 2016-01-01.

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