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	An efficient joint compression and sparsity estimation matching pursuit algorithm for artificial intelligence application
	Yao, Shihong; Zheng, Zhigao; Wang, Tao; Guan, Qingfeng
刊名	FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
	2018
卷号	86
关键词	Compressed sensing Signal reconstruction Chaotic measurement matrix Sparsity estimation Restricted isometry property
ISSN号	0167-739X
DOI	10.1016/j.future.2018.04.039
URL标识	查看原文
收录类别	SCIE ; EI
语种	英语
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4223537
专题	武汉大学
推荐引用方式 GB/T 7714	Yao, Shihong,Zheng, Zhigao,Wang, Tao,et al. An efficient joint compression and sparsity estimation matching pursuit algorithm for artificial intelligence application[J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE,2018,86.
APA	Yao, Shihong,Zheng, Zhigao,Wang, Tao,&Guan, Qingfeng.(2018).An efficient joint compression and sparsity estimation matching pursuit algorithm for artificial intelligence application.FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE,86.
MLA	Yao, Shihong,et al."An efficient joint compression and sparsity estimation matching pursuit algorithm for artificial intelligence application".FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE 86(2018).

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