CR-Sparse v0.2.0

[shailesh1729]

Added

• Linear Operators
  • Convolution 1D, 2D, ND
  • Gram and Frame operators for a given linear operator
  • DWT 1D operator
  • DWT 2D operator
  • Block diagonal operator (by combining one or more operators)
• Sparse Linear Systems
  • Power iterations for computing the largest eigen value of a symmetric linear operator
  • LSQR solver for least squares problems with support for N-D data
  • ISTA: Iterative Shrinkage and Thresholding Algorithm
  • FISTA: Fast Iterative Shrinkage and Thresholding Algorithm
  • lanbpro, simple lansvd
• Geophysics
  • Ricker wavelet
  • Hard, soft and half thresholding operators for ND arrays (both absolute and percentile thresholds)
• Image Processing
  • Gaussian kernels
• Examples
  • Deconvolution
  • Image Deblurring
• Data generation
  • Random subspaces, uniform points on subspaces
  • two_subspaces_at_angle, three_subspaces_at_angle
  • multiple index_sets
  • sparse signals with bi-uniform non-zero values
• Utilities
  • More functions for ND-arrays
  • Off diagonal elements in a matrix, min,max, mean
  • set_diagonal, abs_max_idx_cw, abs_max_idx_rw
• Linear Algebra
  • orth, row_space, null_space, left_null_space, effective_rank
  • subspaces: principal angles, is_in_subspace, project_to_subspace
  • mult_with_submatrix, solve_on_submatrix
  • lanbpro, simple lansvd
• Clustering
  • K-means clustering
  • Spectral clustering
  • Clustering error metrics
• Subspace clustering
  • OMP for sparse subspace clustering
  • Subspace preservation ratio metrics

A paper is being prepared for JOSS.

Improved

• Linear Operators
  • Ability to apply a 1D linear operator along a specific axis of input data
  • axis parameter added to various compressive sensing operators
• Code coverage
  • It is back to 90+% in the unit tests

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This discussion was created from the release CR-Sparse v0.2.0.