Methods for compensation of nonlinear effects in multichannel data transfer systems based on dynamic neural networks

O. S. Sidelnikov, A. A. Redyuk, S. Sygletos, M. P. Fedoruk

Research output: Contribution to journalArticle

Abstract

A scheme for compensation of nonlinear effects in multichannel data transfer systems based on dynamic neural networks is proposed. An improved quality of optical signal transfer in this scheme in comparison with the signal transfer in a scheme based on a neural network using symbols from only one channel is demonstrated.

Original languageEnglish
Pages (from-to)1154-1157
Number of pages4
JournalQuantum Electronics
Volume49
Issue number12
DOIs
Publication statusPublished - 31 Dec 2019

Keywords

  • mathematical simulation
  • neural networks
  • nonlinear effects
  • optical fibre
  • wavelength division multiplexing

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