| Инд. авторы: | Pankov A.V., Sidelnikov O.S., Vatnik I.D., Sukhorukov A.A., Churkin D.V. |
| Заглавие: | Deep learning with synthetic photonic lattices for equalization in optical transmission systems |
| Библ. ссылка: | Pankov A.V., Sidelnikov O.S., Vatnik I.D., Sukhorukov A.A., Churkin D.V. Deep learning with synthetic photonic lattices for equalization in optical transmission systems // Proceedings of SPIE - The International Society for Optical Engineering. - 2019. - Vol.11192. - Art.111920N. - ISSN 0277-786X. |
| Внешние системы: | DOI: 10.1117/12.2537462; РИНЦ: 42767154; SCOPUS: 2-s2.0-85078327501; WoS: 000526177300010; |
| Реферат: | eng: In this work we propose a new physical realization of optical neural network (ONN) based on a recently appeared technological platform of synthetic photonic lattices (SPL), and demonstrate its capabilities for deep learning. The system operates with time series of optical pulses with ability to easily control their parameters and possesses the architecture that well suits the ONN paradigm. We have also shown that such an ONN can be potentially utilized for signal processing in optical communication lines for signal distortion compensation. © 2019 SPIE. |
| Ключевые слова: | Distortion compensation; Optical communication lines; Optical neural networks; Optical transmission systems; Physical realization; Technological platform; Deep learning; Photonics; Optical lattices; Optical communication; Signal processing; Deep learning; Optical Transmission Systems; Synthetic Photonic Lattices; Equalizers; Information management; Light transmission; |
| Издано: | 2019 |
| Конференция: | Название: Real-Time Photonic Measurements, Data Management, and Processing IV 2019 Город: Hangzhou Страна: China Даты проведения: 2019-10-22 - 2019-10-23 |