Dynamic neural network-based methods for compensation of nonlinear effects in multimode communication lines

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7 Citations (Scopus)

Abstract

We consider neural network-based schemes of digital signal processing. It is shown that the use of a dynamic neural network-based scheme of signal processing ensures an increase in the optical signal transmission quality in comparison with that provided by other methods for nonlinear distortion compensation.

Original languageEnglish
Pages (from-to)1147-1149
Number of pages3
JournalQuantum Electronics
Volume47
Issue number12
DOIs
Publication statusPublished - 2017

Keywords

  • Mathematical modelling.
  • Neural networks
  • Nonlinear effects
  • Optical fibre

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