An Improved Analysis for Support Recovery With Orthogonal Matching Pursuit Under General Perturbations

Orthogonal matching pursuit (OMP) is a widely used greedy algorithm for recovering the support of a sparse signal x from the underdetermined model y = Ax. In practice, we should analyze the performance of OMP under general perturbations, which means that both y and A are perturbed. In this paper, un...

Full description

Bibliographic Details
Main Authors: Haifeng Li, Guoqi Liu
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8329443/