Инд. авторы:	Sidelnikov O.S., Redyuk A.A., Sygletos S.
Заглавие:	Dynamic neural network-based methods for compensation of nonlinear effects in multimode communication lines
Библ. ссылка:	Sidelnikov O.S., Redyuk A.A., Sygletos S. Dynamic neural network-based methods for compensation of nonlinear effects in multimode communication lines // Quantum Electronics. - 2017. - Vol.47. - Iss. 12. - P.1147-1149. - ISSN 1063-7818. - EISSN 1468-4799.
Внешние системы:	DOI: 10.1070/QEL16535; РИНЦ: 35490111; SCOPUS: 2-s2.0-85040975228; WoS: 000419126500017;
Реферат:	eng: 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.
Ключевые слова:	nonlinear effects; MODE FIBERS; mathematical modelling; neural networks; optical fibre;
Издано:	2017
Физ. характеристика:	с.1147-1149
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