2015
A new robust and efficient estimator for ill-conditioned linear inverse problems with outliers
ICASSP 2015accepted
Solving a linear inverse problem may include difficulties such as the presence of outliers and a mixing matrix with a large condition number. In such cases a regularized robust estimator is needed. We propose a new-type regularized robust estimator that is simultaneously highly robust against outlie…