A sparsity based technique in wavelet domain for inverse source problem

Abstract

In this paper we present a sparsity based reconstruction method for large source localization problem. The proposed method transforms unknown source function from nonsparse spatial domain to sparse wavelet domain, then combines soft thresholding algorithm with conjugate gradient method to solve the inverse source problem in the wavelet domain. Numerical results verify the feasibility of the proposed method for large source reconstruction.