| 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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