Bounds of restricted isometry constants in extreme asymptotics: Formulae for Gaussian matrices

Restricted isometry constants (RICs) provide a measure of how far from an isometry a matrix can be when acting on sparse vectors. This, and related quantities, provide a mechanism by which standard eigen-analysis can be applied to topics relying on sparsity. RIC bounds have been presented for a vari...

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Autors principals: Bah, B, Tanner, J
Format: Journal article
Publicat: 2014
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author Bah, B
Tanner, J
author_facet Bah, B
Tanner, J
author_sort Bah, B
collection OXFORD
description Restricted isometry constants (RICs) provide a measure of how far from an isometry a matrix can be when acting on sparse vectors. This, and related quantities, provide a mechanism by which standard eigen-analysis can be applied to topics relying on sparsity. RIC bounds have been presented for a variety of random matrices and matrix dimension and sparsity ranges. We provide explicitly formulae for RIC bounds, of n × N Gaussian matrices with sparsity k, in three settings: (a) n/N fixed and k/n approaching zero, (b) k/n fixed and n/N approaching zero, and (c) n/N approaching zero with k/n decaying inverse logarithmically in N/n; in these three settings the RICs (a) decay to zero, (b) become unbounded (or approach inherent bounds), and (c) approach a non-zero constant. Implications of these results for RIC based analysis of compressed sensing algorithms are presented. © 2012 Elsevier Inc. All rights reserved.
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spelling oxford-uuid:4eab5102-fda6-4991-9361-195e5574f0612022-03-26T16:02:33ZBounds of restricted isometry constants in extreme asymptotics: Formulae for Gaussian matricesJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:4eab5102-fda6-4991-9361-195e5574f061Symplectic Elements at Oxford2014Bah, BTanner, JRestricted isometry constants (RICs) provide a measure of how far from an isometry a matrix can be when acting on sparse vectors. This, and related quantities, provide a mechanism by which standard eigen-analysis can be applied to topics relying on sparsity. RIC bounds have been presented for a variety of random matrices and matrix dimension and sparsity ranges. We provide explicitly formulae for RIC bounds, of n × N Gaussian matrices with sparsity k, in three settings: (a) n/N fixed and k/n approaching zero, (b) k/n fixed and n/N approaching zero, and (c) n/N approaching zero with k/n decaying inverse logarithmically in N/n; in these three settings the RICs (a) decay to zero, (b) become unbounded (or approach inherent bounds), and (c) approach a non-zero constant. Implications of these results for RIC based analysis of compressed sensing algorithms are presented. © 2012 Elsevier Inc. All rights reserved.
spellingShingle Bah, B
Tanner, J
Bounds of restricted isometry constants in extreme asymptotics: Formulae for Gaussian matrices
title Bounds of restricted isometry constants in extreme asymptotics: Formulae for Gaussian matrices
title_full Bounds of restricted isometry constants in extreme asymptotics: Formulae for Gaussian matrices
title_fullStr Bounds of restricted isometry constants in extreme asymptotics: Formulae for Gaussian matrices
title_full_unstemmed Bounds of restricted isometry constants in extreme asymptotics: Formulae for Gaussian matrices
title_short Bounds of restricted isometry constants in extreme asymptotics: Formulae for Gaussian matrices
title_sort bounds of restricted isometry constants in extreme asymptotics formulae for gaussian matrices
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AT tannerj boundsofrestrictedisometryconstantsinextremeasymptoticsformulaeforgaussianmatrices