An MM-Based Algorithm for ℓ1-Regularized Least-Squares Estimation With an Application to Ground Penetrating Radar Image Reconstruction

An estimation method known as least absolute shrinkage and selection operator (LASSO) or ℓ1-regularized LS estimation has been found to perform well in a number of applications. In this paper, we use the majorize-minimize method to develop an algorithm for minimizing the LASSO objective function, wh...

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Publié dans:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 25(2016), 5 vom: 07. Mai, Seite 2206-21
Auteur principal:	Ndoye, Mandoye (Auteur)
Autres auteurs:	Anderson, John M M, Greene, David J
Format:	Article en ligne
Langue:	English
Publié:	2016
Accès à la collection:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sujets:	Journal Article Research Support, U.S. Gov't, Non-P.H.S.