| Инд. авторы: | Binjumah W.M., Adams R., Davey N., Sun Y., Redyuk A. |
| Заглавие: | Investigating optical transmission error correction using wavelet transforms |
| Библ. ссылка: | Binjumah W.M., Adams R., Davey N., Sun Y., Redyuk A. Investigating optical transmission error correction using wavelet transforms // 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2017 (Bruges, Belgium, 26.04-28.04.2017): Proceedings. - 2017. - P.447-452. |
| Внешние системы: | РИНЦ: 41616168; |
| Реферат: | eng: Reducing bit error rate and improving performance of mod- ern coherent optical communication system is a significant issue. As the distance travelled by the information signal increases, bit error rate will degrade. Support Vector Machines are the most up to date machine learn- ing method for error correction in optical transmission systems. Wavelet transform has been a popular method to signals processing. In this study, results show that the bit error rate can be improved by using classification based on wavelet transforms (WT) and support vector machine (SVM). |
| Издано: | 2017 |
| Физ. характеристика: | с.447-452 |
| Конференция: | Название: 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning Аббревиатура: ESANN 2017 Город: Bruges Страна: Belgium Даты проведения: 2017-04-26 - 2017-04-28 |
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