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

S. A. Bogdanov; O. S. Sidelnikov

doi:10.1070/QEL17518

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

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

Аннотация

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.

Язык оригинала	английский
Страницы (с-по)	459-462
Число страниц	4
Журнал	Quantum Electronics
Том	51
Номер выпуска	5
DOI	https://doi.org/10.1070/QEL17518
Состояние	Опубликовано - мая 2021

Предметные области OECD FOS+WOS

2.02 ЭЛЕКТРОТЕХНИКА, ЭЛЕКТРОННАЯ ТЕХНИКА, ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ
2.05 ТЕХНОЛОГИЯ МАТЕРИАЛОВ
1.03 ФИЗИЧЕСКИЕ НАУКИ И АСТРОНОМИЯ
1.03.UB ФИЗИКА, ПРИКЛАДНАЯ
2.02.IQ ИНЖЕНЕРИЯ, ЭЛЕКТРИЧЕСКАЯ И ЭЛЕКТРОННАЯ

Доступ к документу

10.1070/QEL17518

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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.

В: Quantum Electronics, Том 51, № 5, 05.2021, стр. 459-462.

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

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