Stable Recovery with Analysis Decomposable Priors
Langue
en
Communication dans un congrès
Ce document a été publié dans
Proc. SampTA'13, Proc. SampTA'13, Proc. SampTA'13, 2013-07, Bremen. 2013p. 113-116
Résumé en anglais
In this paper, we investigate in a unified way the structural properties of solutions to inverse problems. These solutions are regularized by the generic class of semi-norms defined as a decomposable norm composed with a ...Lire la suite >
In this paper, we investigate in a unified way the structural properties of solutions to inverse problems. These solutions are regularized by the generic class of semi-norms defined as a decomposable norm composed with a linear operator, the so-called analysis type decomposable prior. This encompasses several well-known analysis-type regularizations such as the discrete total variation (in any dimension), analysis group-Lasso or the nuclear norm. Our main results establish sufficient conditions under which uniqueness and stability to a bounded noise of the regularized solution are guaranteed. Along the way, we also provide a strong sufficient uniqueness result that is of independent interest and goes beyond the case of decomposable norms.< Réduire
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