中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Block-sparse compressed sensing with partially known signal support via non-convex minimisation

文献类型:期刊论文

作者He, Shiying; Wang Y(王尧); Wang JJ(王建军); Xu ZB(徐宗本)
刊名IET Signal Processing
出版日期2016
卷号10期号:7页码:717-723
ISSN号1751-9675
产权排序1
通讯作者王尧
中文摘要The mixed l2/lp(0 2/lpminimisation from reduced number of measurements by applying the partially known support. The authors also derive a lower bound on necessary random Gaussian measurements for the p-RIP conditions to hold with high possibility. Finally, a series of numerical experiments are carried out to illustrate that fewer measurements with smaller p are needed to reconstruct the signal.
WOS标题词Science & Technology ; Technology
类目[WOS]Engineering, Electrical & Electronic
研究领域[WOS]Engineering
关键词[WOS]RECOVERY ; RECONSTRUCTION
收录类别SCI ; EI
语种英语
WOS记录号WOS:000383538300002
源URL[http://ir.sia.cn/handle/173321/19187]  
专题沈阳自动化研究所_机器人学研究室
推荐引用方式
GB/T 7714
He, Shiying,Wang Y,Wang JJ,et al. Block-sparse compressed sensing with partially known signal support via non-convex minimisation[J]. IET Signal Processing,2016,10(7):717-723.
APA He, Shiying,Wang Y,Wang JJ,&Xu ZB.(2016).Block-sparse compressed sensing with partially known signal support via non-convex minimisation.IET Signal Processing,10(7),717-723.
MLA He, Shiying,et al."Block-sparse compressed sensing with partially known signal support via non-convex minimisation".IET Signal Processing 10.7(2016):717-723.

入库方式: OAI收割

来源:沈阳自动化研究所

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