Sparco: a testing framework for sparse reconstruction
| Title | Sparco: a testing framework for sparse reconstruction |
| Publication Type | Journal Article |
| Year of Publication | 2009 |
| Authors | Ewout van den Berg, Michael P. Friedlander, Gilles Hennenfent, Felix J. Herrmann, Rayan Saab, Ozgur Yilmaz |
| Journal | ACM Transactions on Mathematical Software |
| Volume | 35 |
| Pagination | 1-16 |
| Month | 02 |
| Keywords | compressed sensing, linear operators, Sparse recovery |
| Abstract | Sparco is a framework for testing and benchmarking algorithms for sparse reconstruction. It includes a large collection of sparse reconstruction problems drawn from the imaging, compressed sensing, and geophysics literature. Sparco is also a framework for implementing new test problems and can be used as a tool for reproducible research. Sparco is implemented entirely in Matlab, and is released as open-source software under the GNU Public License. |
| URL | http://doi.acm.org/10.1145/1462173.1462178 |
| Citation Key | vandenberg2009ACMstf |