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

Переведенное название: Методы компенсации нелинейных эффектов в многоканальных системах передачи данных на основе динамических нейронных сетей

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

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

2 Цитирования (Scopus)

Аннотация

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.

Переведенное название	Методы компенсации нелинейных эффектов в многоканальных системах передачи данных на основе динамических нейронных сетей
Язык оригинала	английский
Страницы (с-по)	1154-1157
Число страниц	4
Журнал	Quantum Electronics
Том	49
Номер выпуска	12
DOI	https://doi.org/10.1070/QEL17158
Состояние	Опубликовано - 11 окт 2019
Событие	7th All-Russian Conference on Fiber Optics - Perm Продолжительность: 8 окт 2019 → 11 окт 2019

Доступ к документу

10.1070/QEL17158

Цитировать

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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 = "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",

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journal = "Quantum Electronics",

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

В: Quantum Electronics, Том 49, № 12, 11.10.2019, стр. 1154-1157.

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

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