2017
Sparse Bayesian learning with uncertain sensing matrix
ICASSP 2017accepted
Sparse Bayesian learning is a sparse processing method used for solving high-dimensional, underdetermined linear equations. Often the sensing matrix in the system of equations is assumed known and in presence of perturbations in this matrix performance of sparse processing degrades. We develop a spa…