lschmalen

lschmalen's Stars

• ccanonne/probabilitydistributiontoolbox

  Folklore facts on probability distribution learning, testing, and whatever-ing

  Language:TeX25316010

• kit-cel/lecture-examples

  Sample scripts used in the lectures of the CEL (Communications Engineering Lab) at KIT

  Language:Jupyter Notebook7519167

• pererossello/espectrograma

  Language:Jupyter Notebook70306

• AhmedElkelesh/Genetic-Algorithm-based-LDPC-Code-Design

  Source code from the paper: A. Elkelesh, M. Ebada, S. Cammerer, L. Schmalen, and S. ten Brink, “Decoder-in-the-Loop: Genetic Optimization-Based LDPC Code Design,” in IEEE Access, 2019.

  Language:MATLAB194111

• kit-cel/Quantum-Neural-BP4-demo

  Implementation of Neural Belief propagation decoder for QLDPC codes

  Language:Jupyter Notebook14303

• kit-cel/mokka

  Machine Learning and Optimization for Communications Systems

  Language:Python10501

• openbikesensor/OpenBikeSensor-meta

  Language:TeX5332

• bbgra/pruning_nbp

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