The details can be found in the IEEE ACCESS.

This code has been evaluated on Matlab.

The program is to evaluate the SRC algorithms with different norm regularizations and this code is for the paper

Z. Zhang, Y. Xu, J. Yang, X. Li, D. Zhang, A survey of sparse representation: algorithms and applications, IEEE Access, 2015

The SRC solvers used in the paper are from the following websites:

Orthogonal Matching Pursuit (OMP) toolbox : http://www.cs.technion.ac.il/~ronrubin/software.html

l1_ls toolbox: http://stanford.edu/~boyd/l1_ls/

FISTA : http://www.eecs.berkeley.edu/~yang/software/l1benchmark/

l1-Homotopy: http://users.ece.gatech.edu/~sasif/homotopy/

PALM and DALM: http://www.eecs.berkeley.edu/~yang/software/l1benchmark/index.html

TPTSR；http://www.yongxu.org/lunwen.html

1. This program only presents the classification results on the ORL database for the optimal regularazation parameter lambda.

2. Follow the instruction of the main functions to do the experiment.

If you use the matlab code here, please cite our paper below:

Z. Zhang, Y. Xu, J. Yang, X. Li, D. Zhang, A survey of sparse representation: algorithms and applications, DOI: 10.1109/ACCESS.2015.2430359， IEEE Access, 2015

Copyright: Zheng Zhang, Yong Xu, 2015.05.20

If you have any question, please contact us: [email protected], [email protected]

@article{zhang2015survey,
  title={A survey of sparse representation: algorithms and applications},
  author={Zhang, Zheng and Xu, Yong and Yang, Jian and Li, Xuelong and Zhang, David},
  journal={IEEE access},
  volume={3},
  pages={490--530},
  year={2015},
  publisher={IEEE}
}