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

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.

Publication DOI: https://doi.org/10.1070/QEL16535
Divisions: Engineering & Applied Sciences > Aston Institute of Photonics Technology
Engineering & Applied Sciences > Electrical, Electronic & Power Engineering
Engineering & Applied Sciences
Additional Information: © 2017 Kvantovaya Elektronika, Turpion Ltd and IOP Publishing Ltd. Funding: Russian Science Foundation (Project No. 17-72-30006).
Uncontrolled Keywords: Mathematical modelling. Neural networks Nonlinear effects Optical fibre
Full Text Link:
Related URLs: https://www.sco ... eca4d46782c6f7b (Scopus URL)
http://iopscien ... 0/QEL16535/meta (Publisher URL)
PURE Output Type: Article
Published Date: 2017-12-31
Accepted Date: 2017-10-16
Authors: Sidelnikov, O S
Redyuk, A A
Sygletos, S ( 0000-0003-2063-8733)

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