Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
Deep learning with synthetic photonic lattices for equalization in optical transmission systems. / Pankov, Artem V.; Sidelnikov, Oleg S.; Vatnik, Ilya D. и др.
Real-Time Photonic Measurements, Data Management, and Processing IV. ред. / Ming Li; Bahram Jalali; Mohammad Hossein Asghari. SPIE, 2019. 111920N (Proceedings of SPIE - The International Society for Optical Engineering; Том 11192).Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
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TY - GEN
T1 - Deep learning with synthetic photonic lattices for equalization in optical transmission systems
AU - Pankov, Artem V.
AU - Sidelnikov, Oleg S.
AU - Vatnik, Ilya D.
AU - Sukhorukov, Andrey A.
AU - Churkin, Dmitriy V.
PY - 2019/11/20
Y1 - 2019/11/20
N2 - 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.
AB - 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.
KW - Deep learning
KW - Optical Transmission Systems
KW - Synthetic Photonic Lattices
UR - http://www.scopus.com/inward/record.url?scp=85078327501&partnerID=8YFLogxK
U2 - 10.1117/12.2537462
DO - 10.1117/12.2537462
M3 - Conference contribution
AN - SCOPUS:85078327501
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Real-Time Photonic Measurements, Data Management, and Processing IV
A2 - Li, Ming
A2 - Jalali, Bahram
A2 - Asghari, Mohammad Hossein
PB - SPIE
T2 - Real-Time Photonic Measurements, Data Management, and Processing IV 2019
Y2 - 22 October 2019 through 23 October 2019
ER -
ID: 23577340