Combined based on minimum distance orthogonal matching pursuit method for support recovery improvement in super-resolution compressed sensing

摘要

This paper introduces a new scenario, named combined based on minimum distance orthogonal matching pursuit (CMD-OMP) which utilizes the strength of two available recovery methods at different ranges of minimum distance. Particularly, OMP with a global optimization and non-negative constrained least square algorithm (a MATLAB function implemented as OMP with a modification step) will be studied comparatively and then interacted together to improve signal support recovery performance in super-resolution compressed sensing.