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
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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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