Standard

Methods for compensation of nonlinear effects in multichannel data transfer systems based on dynamic neural networks. / Sidelnikov, O. S.; Redyuk, A. A.; Sygletos, S. et al.

In: Quantum Electronics, Vol. 49, No. 12, 11.10.2019, p. 1154-1157.

Research output: Contribution to journal › Article › peer-review

Harvard

Sidelnikov, OS, Redyuk, AA, Sygletos, S & Fedoruk, MP 2019, 'Methods for compensation of nonlinear effects in multichannel data transfer systems based on dynamic neural networks', Quantum Electronics, vol. 49, no. 12, pp. 1154-1157. https://doi.org/10.1070/QEL17158

APA

Sidelnikov, O. S., Redyuk, A. A., Sygletos, S., & Fedoruk, M. P. (2019). Methods for compensation of nonlinear effects in multichannel data transfer systems based on dynamic neural networks. Quantum Electronics, 49(12), 1154-1157. https://doi.org/10.1070/QEL17158

Vancouver

Sidelnikov OS, Redyuk AA, Sygletos S, Fedoruk MP. Methods for compensation of nonlinear effects in multichannel data transfer systems based on dynamic neural networks. Quantum Electronics. 2019 Oct 11;49(12):1154-1157. doi: 10.1070/QEL17158

Author

Sidelnikov, O. S. ; Redyuk, A. A. ; Sygletos, S. et al. / Methods for compensation of nonlinear effects in multichannel data transfer systems based on dynamic neural networks. In: Quantum Electronics. 2019 ; Vol. 49, No. 12. pp. 1154-1157.

BibTeX

@article{c282c764e7f74587bc2ea63499410b9c,
title = "Methods for compensation of nonlinear effects in multichannel data transfer systems based on dynamic neural networks",
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.",
keywords = "optical fibre, nonlinear effects, neural networks, mathe-matical simulation, wavelength division multiplexing, DISTORTIONS, mathematical simulation",
author = "Sidelnikov, {O. S.} and Redyuk, {A. A.} and S. Sygletos and Fedoruk, {M. P.}",
year = "2019",
month = oct,
day = "11",
doi = "10.1070/QEL17158",
language = "English",
volume = "49",
pages = "1154--1157",
journal = "Quantum Electronics",
issn = "1063-7818",
publisher = "Turpion Ltd.",
number = "12",
note = "7th All-Russian Conference on Fiber Optics ; Conference date: 08-10-2019 Through 11-10-2019",

}

RIS

TY - JOUR

T1 - Methods for compensation of nonlinear effects in multichannel data transfer systems based on dynamic neural networks

AU - Sidelnikov, O. S.

AU - Redyuk, A. A.

AU - Sygletos, S.

AU - Fedoruk, M. P.

PY - 2019/10/11

Y1 - 2019/10/11

N2 - 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.

AB - 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.

KW - optical fibre

KW - nonlinear effects

KW - neural networks

KW - mathe-matical simulation

KW - wavelength division multiplexing

KW - DISTORTIONS

KW - mathematical simulation

UR - https://www.elibrary.ru/item.asp?id=41537732

UR - http://www.scopus.com/inward/record.url?scp=85080090302&partnerID=8YFLogxK

U2 - 10.1070/QEL17158

DO - 10.1070/QEL17158

M3 - Article

VL - 49

SP - 1154

EP - 1157

JO - Quantum Electronics

JF - Quantum Electronics

SN - 1063-7818

IS - 12

T2 - 7th All-Russian Conference on Fiber Optics

Y2 - 8 October 2019 through 11 October 2019

ER -

ID: 23567884