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

O S Sidelnikov, A A Redyuk, S Sygletos

Research output: Contribution to journalArticlepeer-review

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
JournalQuantum Electronics
Volume47
Issue number12
DOIs
Publication statusPublished - 31 Dec 2017

Bibliographical note

© 2017 Kvantovaya Elektronika, Turpion Ltd and IOP Publishing Ltd.

Funding: Russian Science Foundation (Project No. 17-72-30006).

Keywords

  • Mathematical modelling. Neural networks Nonlinear effects Optical fibre

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