Turbo Compressed Sensing with Partial DFT Sensing Matrix

doi:10.1109/LSP.2014.2351822

	Turbo Compressed Sensing with Partial DFT Sensing Matrix
	Junjie Ma 1; Xiaojun Yuan2 ; Li Ping 1
	2015-02
发表期刊	IEEE SIGNAL PROCESSING LETTERS
ISSN	1070-9908
卷号	22 期号:2 页码:158-161
发表状态	已发表
DOI	10.1109/LSP.2014.2351822
摘要	In this letter, we propose a turbo compressed sensing algorithm with partial discrete Fourier transform (DFT) sensing matrices. Interestingly, the state evolution of the proposed algorithm is shown to be consistent with that derived using the replica method. Numerical results demonstrate that the proposed algorithm outperforms the well-known approximate message passing (AMP) algorithm when a partial DFT sensing matrix is involved.
关键词	Approximate message passing (AMP) compressed sensing partial DFT matrix replica method state evolution
URL	查看原文
收录类别	SCI ; EI
语种	英语
资助项目	Research Grant Council, Hong Kong[CityU 118013]
WOS研究方向	Engineering
WOS类目	Engineering, Electrical & Electronic
WOS记录号	WOS:000342159700001
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
EI入藏号	20143900074421
EI主题词	Discrete Fourier transforms ; Evolutionary algorithms ; Message passing ; Signal reconstruction
EI分类号	Information Theory and Signal Processing:716.1 ; Computer Software, Data Handling and Applications:723 ; Mathematics:921 ; Mathematical Transformations:921.3
原始文献类型	Article
来源库	IEEE
引用统计
文献类型	期刊论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/2265
专题	信息科学与技术学院信息科学与技术学院_PI研究组_袁晓军组
作者单位	1.Department of Electronic Engineering, City University of Hong Kong, Hong Kong, SAR, China 2.School of Information Science and Technology, ShanghaiTech University, Shanghai, China
推荐引用方式 GB/T 7714	Junjie Ma,Xiaojun Yuan,Li Ping. Turbo Compressed Sensing with Partial DFT Sensing Matrix[J]. IEEE SIGNAL PROCESSING LETTERS,2015,22(2):158-161.
APA	Junjie Ma,Xiaojun Yuan,&Li Ping.(2015).Turbo Compressed Sensing with Partial DFT Sensing Matrix.IEEE SIGNAL PROCESSING LETTERS,22(2),158-161.
MLA	Junjie Ma,et al."Turbo Compressed Sensing with Partial DFT Sensing Matrix".IEEE SIGNAL PROCESSING LETTERS 22.2(2015):158-161.