CR-Sparse v0.3.1

[shailesh1729]

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 and x properties in RecoverySolution

Others

• Changed copyright to CR-Suite Development Team

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This discussion was created from the release CR-Sparse v0.3.1.