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

O. S. Sidelnikov; A. A. Redyuk; S. Sygletos

doi:10.1070/QEL16535

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

O. S. Sidelnikov, A. A. Redyuk, S. Sygletos

Результат исследования: Научные публикации в периодических изданиях › статья › рецензирование

7 Цитирования (Scopus)

Аннотация

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.

Язык оригинала	английский
Страницы (с-по)	1147-1149
Число страниц	3
Журнал	Quantum Electronics
Том	47
Номер выпуска	12
DOI	https://doi.org/10.1070/QEL16535
Состояние	Опубликовано - 2017

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10.1070/QEL16535

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title = "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.",

keywords = "Mathematical modelling., Neural networks, Nonlinear effects, Optical fibre",

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

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Dynamic neural network-based methods for compensation of nonlinear effects in multimode communication lines. / Sidelnikov, O. S.; Redyuk, A. A.; Sygletos, S.

В: Quantum Electronics, Том 47, № 12, 2017, стр. 1147-1149.

Результат исследования: Научные публикации в периодических изданиях › статья › рецензирование

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AU - Sidelnikov, O. S.

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AU - Sygletos, S.

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AB - 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.

KW - Mathematical modelling.

KW - Neural networks

KW - Nonlinear effects

KW - Optical fibre

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