Date
2015
Description
Déc 2015 Cancun Mexique
Indexation documentaire
Analyse
Subject
deconvolution; total variation; sparse regularization
Titre de l'ouvrage
IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, Dec 2015, Cancun, MexicoIEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing
Nom de l'éditeur
IEEE - Institute of Electrical and Electronics Engineers
Ville de l'éditeur
Piscataway, NJ
Année
2015
ISBN
978-1-4799-1963-5
Auteur
Duval, Vincent
Peyré, Gabriel
Type
Communication / Conférence
Résumé en anglais
In this paper, we study discrete and continuous versions of the LASSO in order to solve the deconvolution problem. We shed light on the Non Degenerate Source Condition, a property which yields support robustness for both the continuous and discrete problems. More precisely, we show that this property yields exact support recovery in the continuous case and the estimation of twice the number of spikes in the discrete case.
