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

Project Samples

Project Activity

See All Activity >

License

GNU Library or Lesser General Public License version 3.0 (LGPLv3)

Follow KL1p

KL1p Web Site

Other Useful Business Software
Build on Google Cloud with $300 in Free Credit Icon
Build on Google Cloud with $300 in Free Credit

New to Google Cloud? Get $300 in free credit to explore Compute Engine, BigQuery, Cloud Run, Vertex AI, and 150+ other products.

Start your next project with $300 in free Google Cloud credit. Spin up VMs, run containers, query exabytes in BigQuery, or build AI apps with Vertex AI and Gemini. Once your credits are used, keep building with 20+ products with free monthly usage, including Compute Engine, Cloud Storage, GKE, and Cloud Run functions. Sign up to start building right away.
Start Free Trial
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of KL1p!

Additional Project Details

Intended Audience

Advanced End Users

Programming Language

C++

Related Categories

C++ Mathematics Software, C++ Information Analysis Software

Registered

2012-05-06