Interest in compressive sensing (CS) and sparse signal reconstruction is growing at a rapid
rate, and so is the amount of information available to those who wish to learn more. Provided below are links
to other websites that can provide further information on the subject, as well as to
interesting work being undertaken by others in the CS community.
Compressive Sensing Resources
CS Resources - A very comprehensive clearinghouse of information
about all facets of compressive sensing, maintained by the DSP group of Rice University's ECE department
CS: The Big Picture - A nice tutorial site on the many
different aspects of compressive sensing
Nuit Blanche - A compressive sensing blog, updated almost daily,
with many references to work taking place across the CS community
Sparse Reconstruction Algorithms
GPSR - A webpage for the algorithm "Gradient Projection for
Sparse Reconstruction"
SparseLab - A Stanford University software package that
contains Matlab implementations of several popular sparse reconstruction algorithms
BCS - A site for Duke University's "Bayesian Compressive
Sensing" algorithm