Sparco: a testing framework for sparse reconstruction

TitleSparco: a testing framework for sparse reconstruction
Publication TypeJournal Article
Year of Publication2009
AuthorsEwout van den Berg, Michael P. Friedlander, Gilles Hennenfent, Felix J. Herrmann, Rayan Saab, Ozgur Yilmaz
JournalACM Transactions on Mathematical Software
Volume35
Number4
Page1-16
Month02
Keywordscompressed 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.

URLhttp://doi.acm.org/10.1145/1462173.1462178
Citation Keyvandenberg2009ACMstf