Minimum Variance Estimation of a Sparse Vector within the Linear Gaussian Model: An RKHS Approach

Alexander Jung, Sebastian Schmutzhard, Franz Hlawatsch +2

We consider minimum variance estimation within the sparse linear Gaussian model (SLGM). A sparse vector is to be estimated from a linearly transformed version embedded in Gaussian…