.png){kind=icon}
返回
Dictionaries Construction Using Alternating Projection Method in Compressive Sensing
.png){kind=icon}
PRE
AI
DOI：10.1109/LSP.2011.2168517.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This letter introduces a novel algorithm to construct sensing and measurement dictionaries in compressive sensing using alternating projection method. The cumulative and mutual cross coherence of the constructed dictionaries are lower than those of Gaussian random dictionary. The concept of General Restricted Isometry Constant (GRIC) is introduced. Low cumulative cross coherence puts bound on GRIC and small GRIC improves successful recovery rate of OMP algorithm. Experiments demonstrate that OMP algorithm performs better using dictionaries constructed by the proposed algorithm than Gaussian random dictionaries and those constructed by Schnass' algorithm.
Keyword:
Compressive sensing
OMP algorithm
sensing dictionary
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
9.6
论文数:
1.1W
被引数:
1.7W
机构
引用论文
Crystal Structure of Triphenyl Cyamelurate (2,5,8-Triphenoxy-1,3,4,6,7,9,9b-heptaazaphenalene).png)
HETEROCYCLES
OAAI
HETEROCYCLESIF0
OAAI分享收藏
The extrapolation of the Drucker–Prager/Cap material parameters to low and high relative densities
PREAI
分享收藏
查看更多内容