Analysis of Non-negative Block Orthogonal Matching Pursuit

摘要

Compressed sensing has recently received considerable attention in signal and image processing, applied mathematics, and statistics. In this paper, the problem of sparse signal restoration in non-negative environment is studied. We propose a greedy algorithm for solving non-negative structure of sparse vector and analyze its theoretical performance based on mutual coherence. The feasibility of the proposed algorithm is verified by numerical experiments.