AbstractWe prove a null space property for the uniqueness of the sparse solution vectors recovered from a minimization in ℓp quasi-norm subject to multiple systems of linear equations, where p∈(0,1]. Furthermore, we show that the null space property is equivalent to the null space property for the standard ℓp minimization subject to a single linear system. This answers the questions raised in Foucart and Gribonval (2010) [17]
International audienceThis paper investigates conditions under which the solution of an underdetermi...
International audienceWe propose a theoretical study of the conditions guar- anteeing that a decoder...
In many applications we seek to recover signals from linear measurements far fewer than the ambient ...
AbstractWe prove a null space property for the uniqueness of the sparse solution vectors recovered f...
We identify and solve an overlooked problem about the characterization of underdeter-mined systems o...
International audienceWe identify and solve an overlooked problem about the characterization of unde...
International audienceWe identify and solve an overlooked problem about the characterization of unde...
The problem of recovering a sparse vector via an underdetermined system of linear equations using a ...
The problem of recovering a sparse vector via an underdetermined system of linear equations using a ...
It is well known that compressed sensing problems reduce to solving large under-determined systems o...
18 Pages, some Figures.International audienceThe Null-Space Property (NSP) is a necessary and suffic...
Recovering sparse vectors and low-rank matrices from noisy linear measurements has been the focus of...
International audienceWe extend recent results regarding the restricted isometry constants (RIC) and...
Recovering sparse vectors and low-rank matrices from noisy linear measurements has been the focus of...
It has become an established fact that the constrained ℓ minimization is capable of recovering the s...
International audienceThis paper investigates conditions under which the solution of an underdetermi...
International audienceWe propose a theoretical study of the conditions guar- anteeing that a decoder...
In many applications we seek to recover signals from linear measurements far fewer than the ambient ...
AbstractWe prove a null space property for the uniqueness of the sparse solution vectors recovered f...
We identify and solve an overlooked problem about the characterization of underdeter-mined systems o...
International audienceWe identify and solve an overlooked problem about the characterization of unde...
International audienceWe identify and solve an overlooked problem about the characterization of unde...
The problem of recovering a sparse vector via an underdetermined system of linear equations using a ...
The problem of recovering a sparse vector via an underdetermined system of linear equations using a ...
It is well known that compressed sensing problems reduce to solving large under-determined systems o...
18 Pages, some Figures.International audienceThe Null-Space Property (NSP) is a necessary and suffic...
Recovering sparse vectors and low-rank matrices from noisy linear measurements has been the focus of...
International audienceWe extend recent results regarding the restricted isometry constants (RIC) and...
Recovering sparse vectors and low-rank matrices from noisy linear measurements has been the focus of...
It has become an established fact that the constrained ℓ minimization is capable of recovering the s...
International audienceThis paper investigates conditions under which the solution of an underdetermi...
International audienceWe propose a theoretical study of the conditions guar- anteeing that a decoder...
In many applications we seek to recover signals from linear measurements far fewer than the ambient ...