AbstractRestricted isometry constants play an important role in compressed sensing. In the literature, E.J. Candès has proven that δ2k<2−1≈0.4142 is a sufficient condition for the l1 minimization problem having a k-sparse solution. Later, S. Foucart and M. Lai have improved the condition to δ2k<0.4531 and S. Foucart has improved the bound to δ2k<0.4652. In 2010, T. Cai, L. Wang and G. Xu have improved the condition to δ2k<0.4721 for the cases such that k is a multiple of 4 or k is very large and S. Foucart has improved the bound to δ2k<0.4734 for large values of k. In this paper, we have improved the sufficient condition to δ2k<0.4931 for general k. Also, in some special cases, the sufficient condition can be improved to δ2k<0.6569. These n...
Compressed sensing (CS) seeks to recover an unknown vector with N entries by making far fewer than N...
MI: Global COE Program Education-and-Research Hub for Mathematics-for-IndustryグローバルCOEプログラム「マス・フォア・イ...
International audienceThis paper investigates conditions under which the solution of an underdetermi...
This paper discusses new bounds for restricted isometry constants in compressed sensing. Let Φ be an...
AbstractRestricted isometry constants play an important role in compressed sensing. In the literatur...
Abstract This paper focuses on the sufficient condition of block sparse recovery with the l 2 / l 1 ...
This paper establishes new restricted isometry conditions for compressed sensing and affine rank min...
AbstractA generic tool for analyzing sparse approximation algorithms is the restricted isometry prop...
Received:28/07/2013 Accepted:28/10/2014 Compressed sensing seeks to recover an unknown sparse signal...
In the theory of compressed sensing, restricted isometry analysis has become a standard tool for stu...
Compressed Sensing (CS) is a framework where we measure data through a non-adaptive linear mapping ...
International audienceWe extend recent results regarding the restricted isometry constants (RIC) and...
International audienceThis paper considers conditions based on the restricted isometry constant (RIC...
It has become an established fact that the constrained ℓ minimization is capable of recovering the s...
AbstractThis article presents novel results concerning the recovery of signals from undersampled dat...
Compressed sensing (CS) seeks to recover an unknown vector with N entries by making far fewer than N...
MI: Global COE Program Education-and-Research Hub for Mathematics-for-IndustryグローバルCOEプログラム「マス・フォア・イ...
International audienceThis paper investigates conditions under which the solution of an underdetermi...
This paper discusses new bounds for restricted isometry constants in compressed sensing. Let Φ be an...
AbstractRestricted isometry constants play an important role in compressed sensing. In the literatur...
Abstract This paper focuses on the sufficient condition of block sparse recovery with the l 2 / l 1 ...
This paper establishes new restricted isometry conditions for compressed sensing and affine rank min...
AbstractA generic tool for analyzing sparse approximation algorithms is the restricted isometry prop...
Received:28/07/2013 Accepted:28/10/2014 Compressed sensing seeks to recover an unknown sparse signal...
In the theory of compressed sensing, restricted isometry analysis has become a standard tool for stu...
Compressed Sensing (CS) is a framework where we measure data through a non-adaptive linear mapping ...
International audienceWe extend recent results regarding the restricted isometry constants (RIC) and...
International audienceThis paper considers conditions based on the restricted isometry constant (RIC...
It has become an established fact that the constrained ℓ minimization is capable of recovering the s...
AbstractThis article presents novel results concerning the recovery of signals from undersampled dat...
Compressed sensing (CS) seeks to recover an unknown vector with N entries by making far fewer than N...
MI: Global COE Program Education-and-Research Hub for Mathematics-for-IndustryグローバルCOEプログラム「マス・フォア・イ...
International audienceThis paper investigates conditions under which the solution of an underdetermi...