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A new bound on the block restricted isometry constant in compressed sensing
This paper focuses on the sufficient condition of block sparse recovery with the [Formula: see text] -minimization. We show that if the measurement matrix satisfies the block restricted isometry property with [Formula: see text] , then every block s-sparse signal can be exactly recovered via the [Fo...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5539310/ https://www.ncbi.nlm.nih.gov/pubmed/28824261 http://dx.doi.org/10.1186/s13660-017-1448-2 |
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author | Gao, Yi Ma, Mingde |
author_facet | Gao, Yi Ma, Mingde |
author_sort | Gao, Yi |
collection | PubMed |
description | This paper focuses on the sufficient condition of block sparse recovery with the [Formula: see text] -minimization. We show that if the measurement matrix satisfies the block restricted isometry property with [Formula: see text] , then every block s-sparse signal can be exactly recovered via the [Formula: see text] -minimization approach in the noiseless case and is stably recovered in the noisy measurement case. The result improves the bound on the block restricted isometry constant [Formula: see text] of Lin and Li (Acta Math. Sin. Engl. Ser. 29(7):1401-1412, 2013). |
format | Online Article Text |
id | pubmed-5539310 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-55393102017-08-17 A new bound on the block restricted isometry constant in compressed sensing Gao, Yi Ma, Mingde J Inequal Appl Research This paper focuses on the sufficient condition of block sparse recovery with the [Formula: see text] -minimization. We show that if the measurement matrix satisfies the block restricted isometry property with [Formula: see text] , then every block s-sparse signal can be exactly recovered via the [Formula: see text] -minimization approach in the noiseless case and is stably recovered in the noisy measurement case. The result improves the bound on the block restricted isometry constant [Formula: see text] of Lin and Li (Acta Math. Sin. Engl. Ser. 29(7):1401-1412, 2013). Springer International Publishing 2017-08-01 2017 /pmc/articles/PMC5539310/ /pubmed/28824261 http://dx.doi.org/10.1186/s13660-017-1448-2 Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Research Gao, Yi Ma, Mingde A new bound on the block restricted isometry constant in compressed sensing |
title | A new bound on the block restricted isometry constant in compressed sensing |
title_full | A new bound on the block restricted isometry constant in compressed sensing |
title_fullStr | A new bound on the block restricted isometry constant in compressed sensing |
title_full_unstemmed | A new bound on the block restricted isometry constant in compressed sensing |
title_short | A new bound on the block restricted isometry constant in compressed sensing |
title_sort | new bound on the block restricted isometry constant in compressed sensing |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5539310/ https://www.ncbi.nlm.nih.gov/pubmed/28824261 http://dx.doi.org/10.1186/s13660-017-1448-2 |
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