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	An adaptive S-method to analyze micro-doppler signals for human activity classification
	Li, Fangmin; Yang, Chao*; Xia, Yuqing; Ma, Xiaolin; Zhang, Tao; Zhou, Zhou
刊名	Sensors (Switzerland)
	2017
卷号	17期号:12
关键词	micro-doppler signal radar activity classification time-frequency analysis support vector machine (SVM)
ISSN号	1424-8220
DOI	10.3390/s17122769
URL标识	查看原文
WOS记录号	WOS:000423285800069;EI:20182505336854;PMID:29186075
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/3388131
专题	武汉理工大学
作者单位	1.[Zhou, Zhou 2.Yang, Chao 3.Li, Fangmin 4.Zhang, Tao] Changsha Univ, Dept Math & Comp Sci, Changsha 410022, Hunan, Peoples R China.
推荐引用方式 GB/T 7714	Li, Fangmin,Yang, Chao*,Xia, Yuqing,et al. An adaptive S-method to analyze micro-doppler signals for human activity classification[J]. Sensors (Switzerland),2017,17(12).
APA	Li, Fangmin,Yang, Chao*,Xia, Yuqing,Ma, Xiaolin,Zhang, Tao,&Zhou, Zhou.(2017).An adaptive S-method to analyze micro-doppler signals for human activity classification.Sensors (Switzerland),17(12).
MLA	Li, Fangmin,et al."An adaptive S-method to analyze micro-doppler signals for human activity classification".Sensors (Switzerland) 17.12(2017).

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