In problems involving the optimization of atomic norms, an upper bound on the dual atomic norm often arises as a constraint. For the special case of line spectral estimation, this upper bound on the dual atomic norm reduces to upper-bounding the magnitude response of a finite impulse response filter by a constant. It is well known that this can be rewritten as a semidefinite constraint, leading to an elegant semidefinite programming formulation of the atomic norm minimization problem. This result is a direct consequence of some classical results in system theory, well known for many decades. This is not detailed in the literature on atomic norms, quite understandably, because the emphasis therein is different. In fact, these connections can...
This paper tackles a compressed sensing problem with the unknown signal showing a flexible block spa...
We show that several recent “positive ” results for lattice problems in the `2 norm also hold in `p ...
International audienceThis paper is devoted to the decomposition of vectors into sampled complex exp...
In problems involving the optimization of atomic norms, an upper bound on the dual atomic norm often...
Motivated by recent work on atomic norms in inverse problems, we propose a new approach to line spec...
Recent research in off-the-grid compressed sensing (CS) has demon-strated that, under certain condit...
The sub-Nyquist estimation of line spectra is a classical problem in signal processing, but currentl...
Recent research in off-the-grid compressed sensing (CS) has demon-strated that, under certain condit...
Norms for operators play a fundamental role in the stability and approximation theory of linear and ...
The diamond norm plays an important role in quantum information and operator theory. Recently, it ha...
Both supremum norms and 2-norms have found a huge number of applications as fitting and approximatio...
Atomic norms occur frequently in data science and engineering problems such as matrix completion, sp...
The decomposition or approximation of a linear operator on a matrix space as a sum of Kronecker prod...
In many applications in signal and image processing, communications, and system identi-fication, one...
Elsner L, He C, Mehrmann V. Minimization of the norm, the norm of the inverse and the condition numb...
This paper tackles a compressed sensing problem with the unknown signal showing a flexible block spa...
We show that several recent “positive ” results for lattice problems in the `2 norm also hold in `p ...
International audienceThis paper is devoted to the decomposition of vectors into sampled complex exp...
In problems involving the optimization of atomic norms, an upper bound on the dual atomic norm often...
Motivated by recent work on atomic norms in inverse problems, we propose a new approach to line spec...
Recent research in off-the-grid compressed sensing (CS) has demon-strated that, under certain condit...
The sub-Nyquist estimation of line spectra is a classical problem in signal processing, but currentl...
Recent research in off-the-grid compressed sensing (CS) has demon-strated that, under certain condit...
Norms for operators play a fundamental role in the stability and approximation theory of linear and ...
The diamond norm plays an important role in quantum information and operator theory. Recently, it ha...
Both supremum norms and 2-norms have found a huge number of applications as fitting and approximatio...
Atomic norms occur frequently in data science and engineering problems such as matrix completion, sp...
The decomposition or approximation of a linear operator on a matrix space as a sum of Kronecker prod...
In many applications in signal and image processing, communications, and system identi-fication, one...
Elsner L, He C, Mehrmann V. Minimization of the norm, the norm of the inverse and the condition numb...
This paper tackles a compressed sensing problem with the unknown signal showing a flexible block spa...
We show that several recent “positive ” results for lattice problems in the `2 norm also hold in `p ...
International audienceThis paper is devoted to the decomposition of vectors into sampled complex exp...