Backtracking-Based Matching Pursuit Method for Sparse Signal Reconstruction

@article{Huang2011BacktrackingBasedMP,
  title={Backtracking-Based Matching Pursuit Method for Sparse Signal Reconstruction},
  author={Honglin Huang and Anamitra Makur},
  journal={IEEE Signal Processing Letters},
  year={2011},
  volume={18},
  pages={391-394}
}
This letter presents a variant of Orthogonal Matching Pursuit (OMP) method, called Backtracking-based Adaptive OMP (BAOMP), for compressive sensing and sparse signal reconstruction. As an extension of the OMP algorithm, the BAOMP method incorporates a simple backtracking technique to detect the previous chosen atoms' reliability and then deletes the unreliable atoms at each iteration. Through this modification, the BAOMP method achieves superior performance while maintaining the low complexity… CONTINUE READING
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An adaptive OMP-based compressive sensing reconstruction method for unknown sparsity noisy signals

  • H. Huang, A. Makur
  • 9th Int. Conf. Sampling Theory and Applications…
  • 2011
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