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	An adaptive optimal-Kernel time-frequency representation-based complex network method for characterizing fatigued behavior using the SSVEP-based BCI system
	Gao, Z.a; Zhang, K.a; Dang, W.a; Yang, Y.a; Wang, Z.a; Duan, H.b; Chen, G.c
刊名	KNOWLEDGE-BASED SYSTEMS
	2018
卷号	Vol.152页码:163-171
ISSN号	0950-7051
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2895311
专题	天津大学
作者单位	1.aSchool of Electrical and Information Engineering, Tianjin University, Tianjin, 300072, China 2.bState Key Laboratory Virtual Reality Technology and Systems, Beihang University, Beijing, 100191, China 3.cDepartment of Electronic Engineering, City University of Hong Kong, Hong Kong
推荐引用方式 GB/T 7714	Gao, Z.a,Zhang, K.a,Dang, W.a,et al. An adaptive optimal-Kernel time-frequency representation-based complex network method for characterizing fatigued behavior using the SSVEP-based BCI system[J]. KNOWLEDGE-BASED SYSTEMS,2018,Vol.152:163-171.
APA	Gao, Z.a.,Zhang, K.a.,Dang, W.a.,Yang, Y.a.,Wang, Z.a.,...&Chen, G.c.(2018).An adaptive optimal-Kernel time-frequency representation-based complex network method for characterizing fatigued behavior using the SSVEP-based BCI system.KNOWLEDGE-BASED SYSTEMS,Vol.152,163-171.
MLA	Gao, Z.a,et al."An adaptive optimal-Kernel time-frequency representation-based complex network method for characterizing fatigued behavior using the SSVEP-based BCI system".KNOWLEDGE-BASED SYSTEMS Vol.152(2018):163-171.

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