Sparse-USR-EigMem v1.0
Authors/Creators
- 1. WAVES Group, Department of Information Technology, Faculty of Engineering , Ghent Univrsitye
- 2. Tehran university of Medical Sciences
Description
Matlab codes of eigenspace membership (EigMem) underdetermined source recovery algorithm. The proposed algorithm is capable of recovering the sparse sources from the mixtures given the mixing matrix using a subspace detection framework. It outperforms the state-of-the-art algorithms (basis pursuit, matching pursuit and smoothed L0 (SL0)) for small-scale mixing system. See 'README' file for more information. Please cite the following references in case of any usage.
[1] E. Eqlimi, B. Makkiabadi, N. Samadzadehaghdam, H. Khajehpour, F. Mohagheghian, and S. Sanei, “A novel underdetermined source recovery algorithm based on k-sparse component analysis,” Circuits, Systems, and Signal Processing, vol. 38, no. 3, pp. 1264–1286, 2019.
[2] Ehsan Eqlimi, & Bahador Makkiabadi. (2020, April 14). Sparse-USR-EigMem v1.1 (Version v1.1). Zenodo. http://doi.org/10.5281/zenodo.3752005
Files
Sparse-USR-EigMem-1.0.zip
Additional details
Related works
- Is supplement to
- https://github.com/EhsanEqlimi/Sparse-USR-EigMem/tree/v1.0 (URL)