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Use of complex fully connected neural networks to compensate for nonlinear effects in fibre-optic communication lines. / Bogdanov, S. A.; Sidelnikov, O. S.

In: Quantum Electronics, Vol. 51, No. 5, 05.2021, p. 459-462.

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

Harvard

Bogdanov, SA & Sidelnikov, OS 2021, 'Use of complex fully connected neural networks to compensate for nonlinear effects in fibre-optic communication lines', Quantum Electronics, vol. 51, no. 5, pp. 459-462. https://doi.org/10.1070/QEL17518

APA

Bogdanov, S. A., & Sidelnikov, O. S. (2021). Use of complex fully connected neural networks to compensate for nonlinear effects in fibre-optic communication lines. Quantum Electronics, 51(5), 459-462. https://doi.org/10.1070/QEL17518

Vancouver

Bogdanov SA, Sidelnikov OS. Use of complex fully connected neural networks to compensate for nonlinear effects in fibre-optic communication lines. Quantum Electronics. 2021 May;51(5):459-462. doi: 10.1070/QEL17518

Author

Bogdanov, S. A. ; Sidelnikov, O. S. / Use of complex fully connected neural networks to compensate for nonlinear effects in fibre-optic communication lines. In: Quantum Electronics. 2021 ; Vol. 51, No. 5. pp. 459-462.

BibTeX

@article{64680ac7fd944dc39f9b3a29153ced33,
title = "Use of complex fully connected neural networks to compensate for nonlinear effects in fibre-optic communication lines",
abstract = "A scheme is proposed for processing optical signals in a receiver of a communication system, based on complex fully connected neural networks. The influence of the main characteristics of the neural network on the efficiency of nonlinear distortion compensation is studied. A significant advantage of the proposed scheme over real-valued neural networks is demonstrated. ",
author = "Bogdanov, {S. A.} and Sidelnikov, {O. S.}",
note = "Publisher Copyright: {\textcopyright} 2021 Kvantovaya Elektronika and IOP Publishing Limited. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.",
year = "2021",
month = may,
doi = "10.1070/QEL17518",
language = "English",
volume = "51",
pages = "459--462",
journal = "Quantum Electronics",
issn = "1063-7818",
publisher = "Turpion Ltd.",
number = "5",

}

RIS

TY - JOUR

T1 - Use of complex fully connected neural networks to compensate for nonlinear effects in fibre-optic communication lines

AU - Bogdanov, S. A.

AU - Sidelnikov, O. S.

N1 - Publisher Copyright: © 2021 Kvantovaya Elektronika and IOP Publishing Limited. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

PY - 2021/5

Y1 - 2021/5

N2 - A scheme is proposed for processing optical signals in a receiver of a communication system, based on complex fully connected neural networks. The influence of the main characteristics of the neural network on the efficiency of nonlinear distortion compensation is studied. A significant advantage of the proposed scheme over real-valued neural networks is demonstrated.

AB - A scheme is proposed for processing optical signals in a receiver of a communication system, based on complex fully connected neural networks. The influence of the main characteristics of the neural network on the efficiency of nonlinear distortion compensation is studied. A significant advantage of the proposed scheme over real-valued neural networks is demonstrated.

UR - http://www.scopus.com/inward/record.url?scp=85106225572&partnerID=8YFLogxK

U2 - 10.1070/QEL17518

DO - 10.1070/QEL17518

M3 - Article

AN - SCOPUS:85106225572

VL - 51

SP - 459

EP - 462

JO - Quantum Electronics

JF - Quantum Electronics

SN - 1063-7818

IS - 5

ER -

ID: 28752974