KL1p is a portable C++ framework for handling sparse recovery of inverse problems of underdetermined linear systems, like in compressed sensing technique.

Features

  • Basis Pursuit algorithm
  • Orthogonal Matching Pursuit (OMP) algorithm
  • Regularized Orthogonal Matching Pursuit (ROMP) algorithm
  • Compressive Sampling Matching Pursuit (CoSaMP) algorithm
  • Subspace Pursuit algorithm
  • Smoothed L0 (SL0) algorithm
  • Approximate Message Passing (AMP) algorithm
  • Expectation Maximization Belief Propagation (EMBP) algorithm
  • Fourier transform
  • Discrete Cosine transform
  • Walsh-Hadamard transform
  • Daubechies Wavelets transform

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  • kl1p is fast and stable

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Additional Project Details

Intended Audience

Advanced End Users

Programming Language

C++

Registered

2012-05-06