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)
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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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