A K-best orthogonal matching pursuit for compressive sensing

Abstract

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… (More)
DOI: 10.1109/ICASSP.2013.6638757

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Cite this paper

@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} }