See the tabs on the left for an introduction to SparseLab, and for download instructions. Please note a new version, SparseLab 2.0 has been released May
26, 2007. It is available for download on this website.
|SparseLab is a library of Matlab routines
for finding sparse
solutions to underdetermined systems. It not only aims to provide tools for sparse representation in
a cohesive package to the research community, if also allows researchers in this area to publicly release the code accompanying their published papers.
The library is available free
of charge over the Internet.
SparseLab has over 200 matlab files which are documented, indexed
and cross-referenced in various ways. SparseLab makes available, in one package, all the code to reproduce
all the figures in the included published articles. The interested
reader can inspect the source code to see exactly what algorithms
were used, and how parameters were set in producing our figures, and
can then modify the source to produce variations on our results.
SparseLab has been developed, in part, because of exhortations by
Jon Claerbout of Stanford that computational scientists should
engage in "really reproducible" research.