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 | |
| Состояние | Опубликовано - 2017 |
Fingerprint Подробные сведения о темах исследования «Dynamic neural network-based methods for compensation of nonlinear effects in multimode communication lines». Вместе они формируют уникальный семантический отпечаток (fingerprint).
Цитировать
Sidelnikov, O. S., Redyuk, A. A., & Sygletos, S. (2017). Dynamic neural network-based methods for compensation of nonlinear effects in multimode communication lines. Quantum Electronics, 47(12), 1147-1149. https://doi.org/10.1070/QEL16535