Data-driven method for nonlinear optical fiber channel modeling based on deep neural network
R Jiang, Z Fu, Y Bao, H Wang, X Ding… - IEEE Photonics …, 2022 - ieeexplore.ieee.org
Recently, data-driven fiber channel modeling methods based on deep learning have been
proposed in optical communication system simulations. We investigate a new data-driven …
proposed in optical communication system simulations. We investigate a new data-driven …
A large birefringence and high nonlinearity liquid crystal photonic crystal fiber with low confinement loss
X Zhou, E Wang, Q Han, H Yuan, J Li - Optical Fiber Technology, 2021 - Elsevier
Through filling the liquid crystal E7 into the defect position of the photonic crystal fiber (PCF)
which possesses full circular air hole structure, a PCF with adjustable optical performance is …
which possesses full circular air hole structure, a PCF with adjustable optical performance is …
Versatile spectrum processing based on a compact diffractive neural network
Y Zhu, J Fei, B Li, M Gu, J Lin - Holography, Diffractive Optics …, 2022 - spiedigitallibrary.org
Spectral processing is of great importance in optical research and applications. However,
there are currently no multifunctional spectral processing devices with advanced processing …
there are currently no multifunctional spectral processing devices with advanced processing …