SparseLab is a Matlab software package managed by David L. Donoho and his team. It provides various tools for sparse solution of linear systems, least-squares with sparsity, various pursuit algorithms, and more. It also includes Matlab simulations that reproduce the following papers that I coauthored):
- David Donoho and Michael Elad, On the Stability of the Basis Pursuit in the Presence of Noise.
- David Donoho, Michael Elad, and Vladimir Temlyakov, Stable Recovery of Sparse Overcomplete Representations in the Presence of Noise.
- Michael Elad, Optimized Projections for Compressed-Sensing,
- Michael Elad, Why Simple Shrinkage is Still Relevant for Redundant Representations?