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Theoretical analysis of GOMP based on RIP and ROC

  • Haifeng Li,
  • Leiyan Guo

摘要

This paper aims to investigate sufficient conditions for the recovery of sparse signals via the generalized orthogonal matching pursuit (gOMP) algorithm. In the noisy case, a sufficient condition for recovering the support of k-sparse signal is presented based on restricted isometry property (RIP) and restricted orthogonality constant (ROC).