CR-Sparse v0.3.1
The main highlight of this release is the support for block sparse bayesian learning algorithms.
Added
Block Sparse Bayesian Learning
- Expectation Maximization version
- Bound Optimization version
Dictionaries
- sparse_binary_mtx
- wavelet_basis
Linear operators
- sparse_real_matrix
- sparse_binary_dict
Test data
- sparse_normal_blocks
Miscellaneous
- Some plotting utilities
Examples
- ECG Data Compressive Sensing
- Block Sparse Bayesian Learning
- Sparse Binary Sensing Matrices
Improvements
- Fixed some issues in the circulant linear operator
- Removed unnecessary
__init__
files - Removed
bio
module which was empty - Resolved some warnings related to incorrect static argument names or numbers
- Added
__str__
to several named tuples for debugging purposes - ADMM tutorial updated to align with 0.3.x changes
- Added
length
andx
properties in RecoverySolution
Others
- Changed copyright to CR-Suite Development Team