A K-best orthogonal matching pursuit for compressive sensing

@article{Lin2013AKO,
  title={A K-best orthogonal matching pursuit for compressive sensing},
  author={Pu-Hsuan Lin and Shang-Ho Tsai and Gene C. H. Chuang},
  journal={2013 IEEE International Conference on Acoustics, Speech and Signal Processing},
  year={2013},
  pages={5706-5709}
}
This paper proposes an orthogonal matching pursuit (OMP-) based recovering algorithm for compressive sensing problems. This algorithm can significantly improve recovering performance while it can still maintain reasonable computational complexity. Complexity analysis and simulation results are provided for the proposed algorithm and compared with other popular recovering schemes. We observe that the proposed algorithm can significantly improve the exact recovering performance compared to the… CONTINUE READING