Science China Mathematics

, Volume 57, Issue 3, pp 627–634

Robustness of orthogonal matching pursuit under restricted isometry property



Orthogonal matching pursuit (OMP) algorithm is an efficient method for the recovery of a sparse signal in compressed sensing, due to its ease implementation and low complexity. In this paper, the robustness of the OMP algorithm under the restricted isometry property (RIP) is presented. It is shown that \(\delta _K + \sqrt K \theta _{K,1} < 1\) is sufficient for the OMP algorithm to recover exactly the support of arbitrary K-sparse signal if its nonzero components are large enough for both l2 bounded and l bounded noises.


compressed sensing orthogonal matching pursuit restricted isometry property 


65D15 65J22 68W40 15A29 74G15 90C25 49M30 


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Copyright information

© Science China Press and Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.School of Mathematics and Computational SciencesGuangdong University of Business StudiesGuangzhouChina
  2. 2.School of Mathematical SciencesDalian University of TechnologyDalianChina

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