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The recovery of complex sparse signals from few phaseless measurements
Xia, Yu1; Xu, Zhiqiang2,3
2021
Source PublicationAPPLIED AND COMPUTATIONAL HARMONIC ANALYSIS
ISSN1063-5203
Volume50Pages:1-15
AbstractWe study the stable recovery of complex k-sparse signals from as few phaseless measurements as possible. The main result is to show that one can employ Li minimization to stably recover complex k-sparse signals from m >= O(k log(n/k)) complex Gaussian random quadratic measurements with high probability. To do that, we establish that Gaussian random measurements satisfy the restricted isometry property over rank-2 and sparse matrices with high probability. This paper presents the first theoretical estimation of the measurement number for stably recovering complex sparse signals from complex Gaussian quadratic measurements. (C) 2020 Elsevier Inc. All rights reserved.
DOI10.1016/j.acha.2020.08.001
Indexed BySCI
Language英语
Funding ProjectNSFC[11688101] ; NSFC[11901143] ; Zhejiang Provincial Natural Science Foundation[LQ19A010008] ; Department of Education of Zhejiang ProvinceScience Foundation[Y201840082] ; Beijing Natural Science Foundation[Z180002]
WOS Research AreaMathematics
WOS SubjectMathematics, Applied
WOS IDWOS:000579922900001
PublisherACADEMIC PRESS INC ELSEVIER SCIENCE
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Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/52356
Collection中国科学院数学与系统科学研究院
Corresponding AuthorXia, Yu
Affiliation1.Hangzhou Normal Univ, Dept Math, Hangzhou 311121, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, Inst Comp Math, LSEC, Beijing 100091, Peoples R China
3.Univ Chinese Acad Sci, Sch Math Sci, Beijing 100049, Peoples R China
Recommended Citation
GB/T 7714
Xia, Yu,Xu, Zhiqiang. The recovery of complex sparse signals from few phaseless measurements[J]. APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS,2021,50:1-15.
APA Xia, Yu,&Xu, Zhiqiang.(2021).The recovery of complex sparse signals from few phaseless measurements.APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS,50,1-15.
MLA Xia, Yu,et al."The recovery of complex sparse signals from few phaseless measurements".APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS 50(2021):1-15.
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