O. S. Sidelnikov, A. A. Redyuk, S. Sygletos, M. P. Fedoruk, “Methods for compensation of nonlinear effects in multichannel data transfer systems based on dynamic neural networks”, Kvantovaya Elektronika, 49:12 (2019), 1154–1157 [Quantum Electron., 49:12 (2019), 1154

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Kvantovaya Elektronika, 2019, Volume 49, Number 12, Pages 1154–1157 (Mi qe17163)

This article is cited in 7 scientific papers (total in 7 papers)

Selection of reports presented at the 7th All-Russian Conference on Fiber Optics (8-11 October 2019, Perm) (edited compiled by S.L.Semjonov)

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

O. S. Sidelnikov^ab, A. A. Redyuk^ab, S. Sygletos^c, M. P. Fedoruk^ab

^a Novosibirsk State University
^b Institute of Computational Technologies, Siberian Branch of the Russian Academy of Sciences, Novosibirsk
^c Aston University, England

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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, mathematical simulation, wavelength division multiplexing.

Funding agency	Grant number
Russian Science Foundation	17-72-30006
Ministry of Education and Science of the Russian Federation	1.6366.2017/8.9

Received: 11.10.2019

English version:
Quantum Electronics, 2019, Volume 49, Issue 12, Pages 1154–1157
DOI: https://doi.org/10.1070/QEL17158

Bibliographic databases:

Document Type: Article

Language: Russian

Citation: O. S. Sidelnikov, A. A. Redyuk, S. Sygletos, M. P. Fedoruk, “Methods for compensation of nonlinear effects in multichannel data transfer systems based on dynamic neural networks”, Kvantovaya Elektronika, 49:12 (2019), 1154–1157 [Quantum Electron., 49:12 (2019), 1154–1157]

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https://www.mathnet.ru/eng/qe17163

https://www.mathnet.ru/eng/qe/v49/i12/p1154

This publication is cited in the following 7 articles:

Citing articles in Google Scholar: Russian citations, English citations
Related articles in Google Scholar: Russian articles, English articles

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Abstract page:	231
Full-text PDF :	73
References:	39
First page:	12

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