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 https://sparse-plex.readthedocs.io/en/latest/.