NOTE: Please visit cr-sparse for an up-to-date functional implementation in Python using Google JAX which is hardware accelerated for CPU/GPU/TPUs. Thus, same code works on all types of hardware. Docs. All activate development is happening in cr-sparse only. sparse-plex is now in maintenance mode.
A MATLAB library for exploiting the sparsity in data representations for solving real life problems.
Keywords:
- Sparse representations
- Compressive sensing
- Sparse recovery : OMP, CoSaMP, BP, ORMP, OLS, IHT, HTP
- Subspace clustering
- Joint recovery
- SMV vs MMV problems
- Dictionary learning, MOD, K-SVD
Read online documentation at http://sparse-plex.readthedocs.io/en/latest/.