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	A multiwavelet-based time-varying model identification approach for time-frequency analysis of EEG signals
	Li, Yang; Luo, Mei-Lin; Li, Ke
刊名	NEUROCOMPUTING
	2016
卷号	193页码:106-114
关键词	Chebyshev polynomials EEG data Kalman filter Mutual information Wavelet Orthogonal least squares (OLS) Time-varying system identification Time-frequency analysis
ISSN号	0925-2312
DOI	10.1016/j.neucom.2016.01.062
URL标识	查看原文
收录类别	SCIE ; EI
WOS记录号	WOS:000375506500012
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/5949557
专题	北京航空航天大学
推荐引用方式 GB/T 7714	Li, Yang,Luo, Mei-Lin,Li, Ke. A multiwavelet-based time-varying model identification approach for time-frequency analysis of EEG signals[J]. NEUROCOMPUTING,2016,193:106-114.
APA	Li, Yang,Luo, Mei-Lin,&Li, Ke.(2016).A multiwavelet-based time-varying model identification approach for time-frequency analysis of EEG signals.NEUROCOMPUTING,193,106-114.
MLA	Li, Yang,et al."A multiwavelet-based time-varying model identification approach for time-frequency analysis of EEG signals".NEUROCOMPUTING 193(2016):106-114.

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