Sparco: a testing framework for sparse reconstruction

E. van den Berg, M. P. Friedlander, G. Hennenfent, F. Herrmann, R. Saab, Ö. Yılmaz
ACM Transactions on Mathematical Software, 35(4):1-16, 2009

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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.

Software

The paper documents the Sparco Toolbox. You might also want to check out the more modern Spot Linear Operator Toolbox for Matlab.

BiBTeX

@Article{BergFriedlander:2009:,
  author =       "Ewout van den Berg and Michael P. Friedlander and
		  Gilles Hennenfent and Felix J. Herrmann and Rayan Saab and
                 "{O}zg{"u}r Yilmaz",
  title =        "Algorithm 890: {Sparco}: A Testing Framework for Sparse
		  Reconstruction",
  journal =      "{ACM} Transactions on Mathematical Software",
  volume =       "35",
  number =       "4",
  month =        feb,
  year =         2009,
  pages =        "1--16",
  URL =          "http://doi.acm.org/10.1145/1462173.1462178",
}