Published March 4, 2021 | Version 1
Journal article Open

Zoo of Neural Network Based Equalizers

  • 1. Aston University

Description

Code for the neural networks equalizers used in the journal paper: Performance versus Complexity Study of NeuralNetwork Equalizers in Coherent Optical Systems. 

 

Please, when using any of the codes from this repository, cite explicitly the respective paper:

P. J. Freire et al., "Performance Versus Complexity Study of Neural Network Equalizers in Coherent Optical Systems," in Journal of Lightwave Technology, vol. 39, no. 19, pp. 6085-6096, Oct.1, 2021, doi: 10.1109/JLT.2021.3096286.

 

@ARTICLE{9483687,
  author={Freire, Pedro J. and Osadchuk, Yevhenii and Spinnler, Bernhard and Napoli, Antonio and Schairer, Wolfgang and Costa, Nelson and Prilepsky, Jaroslaw E. and Turitsyn, Sergei K.},
  journal={Journal of Lightwave Technology}, 
  title={Performance Versus Complexity Study of Neural Network Equalizers in Coherent Optical Systems}, 
  year={2021},
  volume={39},
  number={19},
  pages={6085-6096},
  doi={10.1109/JLT.2021.3096286}}

 

Notes

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Additional details

Funding

European Commission
REAL-NET – REAL-time monitoring and mitigation of nonlinear effects in optical NETworks 813144