A Sparsity Based Technique In Wavelet Domain For Inverse Source Problem


Taskin U., Özdemir Ö.

IEEE Conference on Antenna Measurements and Applications (CAMA), Syracuse, Italy, 23 - 27 October 2016 identifier

  • Publication Type: Conference Paper / Full Text
  • City: Syracuse
  • Country: Italy

Abstract

In this paper we present a sparsity based reconstruction method for large source localization problem. The proposed method transforms unknown source function from non sparse 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.