The example codes and numerical traces supplemented for article "Data augmentation for the supervised learning of nonlinearity compensation algorithms in optical communications"

  • Vladislav Neskorniuk (Creator)
  • Pedro J. Freire (Creator)
  • Antonio Napoli (Creator)
  • Bernhard Spinnler (Creator)
  • Wolfgang Schairer (Creator)
  • Yaroslav Prylepskiy (Creator)
  • Nelson Costa (Creator)
  • Sergei Turitsyn (Creator)



Keywords: data augmentation, supervised learning, machine learning, nonlinearity mitigation, digital signal processing, fiber-optic communications, dataset, code

Funders: VN and PJF acknowledge support by the European Union’s Horizon 2020 research and innovation program under MSCA GA 766115 and 813144, respectively., SKT acknowledges support by the EPSRC project TRANSNET.

Projects: H2020 MSCA Fibre Optic nonlinear Technologies [FONTE] – a European Industrial Doctorate [EID] (Grant agreement 766115), H2020 MSCA Real-time Monitoring and Mitigation of Nonlinear Effects in Optical Networks [REAL-NET] – a European Industrial Doctorate [EID] (Grant agreement 813144), EPSRC Transforming networks - building an intelligent optical infrastructure [TRANSNET] (EP/R035342/1)
Date made available25 Sept 2020
PublisherAston Data Explorer
Date of data production1 Mar 2020 - 3 Oct 2020

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