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

O. S. Sidelnikov; A. A. Redyuk; S. Sygletos; M. P. Fedoruk

doi:10.1070/QEL17158

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

O. S. Sidelnikov, A. A. Redyuk, S. Sygletos, M. P. Fedoruk

College of Engineering and Physical Sciences

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

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.

Original language	English
Pages (from-to)	1154-1157
Number of pages	4
Journal	Quantum Electronics
Volume	49
Issue number	12
DOIs	https://doi.org/10.1070/QEL17158
Publication status	Published - 31 Dec 2019

Keywords

mathematical simulation
neural networks
nonlinear effects
optical fibre
wavelength division multiplexing

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10.1070/QEL17158

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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 = "mathematical simulation, neural networks, nonlinear effects, optical fibre, wavelength division multiplexing",

author = "Sidelnikov, {O. S.} and Redyuk, {A. A.} and S. Sygletos and Fedoruk, {M. P.}",

year = "2019",

month = dec,

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doi = "10.1070/QEL17158",

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AU - Sidelnikov, O. S.

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AU - Sygletos, S.

AU - Fedoruk, M. P.

PY - 2019/12/31

Y1 - 2019/12/31

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.

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KW - neural networks

KW - nonlinear effects

KW - optical fibre

KW - wavelength division multiplexing

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

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