CR-Sparse

A JAX/XLA based library of accelerated models and algorithms for inverse problems in sparse representation and compressive sensing. GITHUB.

Contents:

• Quick Start
  • Platform Support
  • Installation
  • Examples
• Introduction
  • Sparse approximation and recovery problems
  • Functional Programming
  • Linear Operators
  • Greedy Sparse Recovery/Approximation Algorithms
  • Convex Optimization based Recovery Algorithms
  • Evaluation Framework
  • Open Source Credits
  • Further Reading
• Tutorials
  • Dirac Cosine Dictionaries
  • Alternating direction algorithms for l1 problems in compressive sensing
• API Docs
  • Linear Operators
  • Sparse Linear Systems
  • Sparsifying Dictionaries and Sensing Matrices
  • Greedy Sparse Recovery
  • L1 Minimization
  • Optimization
  • First Order Methods
  • Block Sparsity
  • Data Clustering
  • Sparse Subspace Clustering
  • Sample Data Generation Utilities
  • Miscellaneous Algorithms
  • Evaluation Framework
• Algorithms
  • Sparse recovery algorithms
• Theory
  • Linear Algebra
  • Sparse Linear Systems
  • Sparse Subspace Clustering
  • Acronyms
• Examples Gallery
  • Data Clustering
  • Linear Operators
  • Compressive Sensing
  • Sparse Recovery via L1 minimization
• References
• Development
  • Source Code
  • Limitations
  • Benchmarks
  • Change Log

Indices and tables

• Index

• Module Index

• Search Page