An Entropic Estimator for Linear Inverse Problems
In this paper we examine an Information-Theoretic method for solving noisy linear inverse estimation<em> </em>problems which encompasses under a single framework a whole class of estimation TV methods.Under this framework, the prior information about the unknown parameters (when such information exists), and constraints on the parameter