Efficiency of orthogonal matching pursuit for group sparse recovery

HIGHLIGHTS

  • who: Chunfang Shao and colleagues from the College of Science, North China University of Science and Technology, Tangshan, China have published the research work: Efficiency of Orthogonal Matching Pursuit for Group Sparse Recovery, in the Journal: Axioms 2023, 12, 389. of 15/02/2023
  • what: The authors propose the Group Orthogonal Matching Pursuit (GOMP) algorithm to recover group signals from noisy measurements. Meanwhile the authors show the robustness of the GOMP under the measurement error. At about the same time, the research community began to propose that the number of nonzero components of a signal . . .

     

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