cr-sparse

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Contents:

  • Quick Start
  • Introduction
  • Tutorials
  • API Docs
  • Algorithms
  • Theory
  • Examples Gallery
  • References
  • Development

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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
    • Installation
    • Usage
  • 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
    • Thinking in JAX
    • 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
    • Convex Relaxation
    • Optimization
    • First Order Methods
    • Block Sparsity
    • Data Clustering
    • Sparse Subspace Clustering
    • Sample Data Generation Utilities
    • Test Problems
    • Miscellaneous Algorithms
    • Evaluation Framework
  • Algorithms
    • Sparse recovery algorithms
  • Theory
    • Linear Algebra
    • Sparse Linear Systems
    • Sparse Subspace Clustering
    • Acronyms
  • Examples Gallery
    • Linear Operators
    • Compressive Sensing
    • Convex Relaxation Techniques
    • Data Clustering
  • References
  • Development
    • Source Code
    • Limitations
    • Benchmarks
    • Change Log

Indices and tables¶

  • Index

  • Module Index

  • Search Page

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