Name
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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1145/1462173.1462178 | ACM Trans. Math. Softw. |
Keywords | Field | DocType |
sparse recovery,new test problem,large collection,sparse reconstruction,reproducible research,linear operators,compressed sensing,benchmarking algorithm,sparse reconstruction problem,geophysics literature,open-source software,gnu public license,testing framework,linear operator,image compression | MATLAB,Computer science,Algorithm,Theoretical computer science,Software,Inverse problem,Open source software,Standardization,Benchmarking,Compressed sensing,License | Journal |
Volume | Issue | ISSN |
35 | 4 | 0098-3500 |
Citations | PageRank | References |
13 | 2.66 | 19 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ewout van den Berg | 1 | 709 | 41.30 |
| Michael P. Friedlander | 2 | 1028 | 58.38 |
| Gilles Hennenfent | 3 | 35 | 4.67 |
| Felix J. Herrmann | 4 | 61 | 11.66 |
| Rayan Saab | 5 | 149 | 14.56 |
| Özgür Yilmaz | 6 | 685 | 51.36 |