Abstract—Many sparse approximation algorithms accurately recover the sparsest solution to an underdetermined system of equations provided the matrix’s restricted isometry constants (RICs) satisfy certain bounds. There are no known large deter-ministic matrices that satisfy the desired RIC bounds; however, members of many random matrix ensembles typically satisfy RIC bounds. This experience with random matrices has colored the view of the RICs ’ behavior. By modifying matrices assumed to have bounded RICs, we construct matrices whose RICs behave in a markedly different fashion than the classical random matrices; RICs can satisfy desirable bounds and also take on values in a narrow range. Index Terms—Compressed sensing, restricted isometry co...
33 pages, 1 figureInternational audienceThis article provides a new toolbox to derive sparse recover...
Abstract. Compressed Sensing (CS) seeks to recover an unknown vector with N entries by making far fe...
In Compressive Sensing, the Restricted Isometry Property (RIP) ensures that robust recovery of spars...
Restricted isometry constants (RICs) provide a measure of how far from an isometry a matrix can be w...
We investigate conditions under which the solution of an underdetermined linear system with minimal ...
We investigate conditions under which the solution of an underdetermined linear system with minimal ...
A generic tool for analyzing sparse approximation algorithms is the restricted isometry property (RI...
Received:28/07/2013 Accepted:28/10/2014 Compressed sensing seeks to recover an unknown sparse signal...
This article provides a new toolbox to derive sparse recovery guarantees – that is referred to as “s...
This paper discusses new bounds for restricted isometry constants in compressed sensing. Let Φ be an...
International audienceWe extend recent results regarding the restricted isometry constants (RIC) and...
International audienceWe extend recent results regarding the restricted isometry constants (RIC) and...
Compressed Sensing (CS) is a framework where we measure data through a non-adaptive linear mapping ...
AbstractIn the theory of compressed sensing, restricted isometry analysis has become a standard tool...
International audienceThis paper considers conditions based on the restricted isometry constant (RIC...
33 pages, 1 figureInternational audienceThis article provides a new toolbox to derive sparse recover...
Abstract. Compressed Sensing (CS) seeks to recover an unknown vector with N entries by making far fe...
In Compressive Sensing, the Restricted Isometry Property (RIP) ensures that robust recovery of spars...
Restricted isometry constants (RICs) provide a measure of how far from an isometry a matrix can be w...
We investigate conditions under which the solution of an underdetermined linear system with minimal ...
We investigate conditions under which the solution of an underdetermined linear system with minimal ...
A generic tool for analyzing sparse approximation algorithms is the restricted isometry property (RI...
Received:28/07/2013 Accepted:28/10/2014 Compressed sensing seeks to recover an unknown sparse signal...
This article provides a new toolbox to derive sparse recovery guarantees – that is referred to as “s...
This paper discusses new bounds for restricted isometry constants in compressed sensing. Let Φ be an...
International audienceWe extend recent results regarding the restricted isometry constants (RIC) and...
International audienceWe extend recent results regarding the restricted isometry constants (RIC) and...
Compressed Sensing (CS) is a framework where we measure data through a non-adaptive linear mapping ...
AbstractIn the theory of compressed sensing, restricted isometry analysis has become a standard tool...
International audienceThis paper considers conditions based on the restricted isometry constant (RIC...
33 pages, 1 figureInternational audienceThis article provides a new toolbox to derive sparse recover...
Abstract. Compressed Sensing (CS) seeks to recover an unknown vector with N entries by making far fe...
In Compressive Sensing, the Restricted Isometry Property (RIP) ensures that robust recovery of spars...