On the Null Space Property of lq-Minimization for 0<q≤1 in Compressed Sensing

The paper discusses the relationship between the null space property (NSP) and the lq-minimization in compressed sensing. Several versions of the null space property, that is, the lq stable NSP, the lq robust NSP, and the lq,p robust NSP for 0<p≤q<1 based on the standard lq NSP, are proposed,...

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Main Authors: Yi Gao, Jigen Peng, Shigang Yue, Yuan Zhao
Format: Article
Language:English
Published: Wiley 2015-01-01
Series:Journal of Function Spaces
Online Access:http://dx.doi.org/10.1155/2015/579853
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author Yi Gao
Jigen Peng
Shigang Yue
Yuan Zhao
author_facet Yi Gao
Jigen Peng
Shigang Yue
Yuan Zhao
author_sort Yi Gao
collection DOAJ
description The paper discusses the relationship between the null space property (NSP) and the lq-minimization in compressed sensing. Several versions of the null space property, that is, the lq stable NSP, the lq robust NSP, and the lq,p robust NSP for 0<p≤q<1 based on the standard lq NSP, are proposed, and their equivalent forms are derived. Consequently, reconstruction results for the lq-minimization can be derived easily under the NSP condition and its equivalent form. Finally, the lq NSP is extended to the lq-synthesis modeling and the mixed l2/lq-minimization, which deals with the dictionary-based sparse signals and the block sparse signals, respectively.
format Article
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institution Kabale University
issn 2314-8896
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language English
publishDate 2015-01-01
publisher Wiley
record_format Article
series Journal of Function Spaces
spelling doaj-art-daf657093ca9482bb53f6ee4d8f786672025-02-03T07:25:50ZengWileyJournal of Function Spaces2314-88962314-88882015-01-01201510.1155/2015/579853579853On the Null Space Property of lq-Minimization for 0<q≤1 in Compressed SensingYi Gao0Jigen Peng1Shigang Yue2Yuan Zhao3School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, ChinaSchool of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, ChinaSchool of Computer Science, University of Lincoln, Lincoln LN6 7TS, UKSchool of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, ChinaThe paper discusses the relationship between the null space property (NSP) and the lq-minimization in compressed sensing. Several versions of the null space property, that is, the lq stable NSP, the lq robust NSP, and the lq,p robust NSP for 0<p≤q<1 based on the standard lq NSP, are proposed, and their equivalent forms are derived. Consequently, reconstruction results for the lq-minimization can be derived easily under the NSP condition and its equivalent form. Finally, the lq NSP is extended to the lq-synthesis modeling and the mixed l2/lq-minimization, which deals with the dictionary-based sparse signals and the block sparse signals, respectively.http://dx.doi.org/10.1155/2015/579853
spellingShingle Yi Gao
Jigen Peng
Shigang Yue
Yuan Zhao
On the Null Space Property of lq-Minimization for 0<q≤1 in Compressed Sensing
Journal of Function Spaces
title On the Null Space Property of lq-Minimization for 0<q≤1 in Compressed Sensing
title_full On the Null Space Property of lq-Minimization for 0<q≤1 in Compressed Sensing
title_fullStr On the Null Space Property of lq-Minimization for 0<q≤1 in Compressed Sensing
title_full_unstemmed On the Null Space Property of lq-Minimization for 0<q≤1 in Compressed Sensing
title_short On the Null Space Property of lq-Minimization for 0<q≤1 in Compressed Sensing
title_sort on the null space property of lq minimization for 0 q≤1 in compressed sensing
url http://dx.doi.org/10.1155/2015/579853
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AT jigenpeng onthenullspacepropertyoflqminimizationfor0q1incompressedsensing
AT shigangyue onthenullspacepropertyoflqminimizationfor0q1incompressedsensing
AT yuanzhao onthenullspacepropertyoflqminimizationfor0q1incompressedsensing