Identification of hybrid orbital angular momentum modes with deep feedforward neural network

Identification of hybrid orbital angular momentum modes with deep feedforward neural network

The identification of hybrid orbital angular momentum (OAM) modes with high-accuracy and -speed is always a challenge in practically applying optical vortex beams (VBs). In this paper, we propose and investigate a deep feedforward neural network (FNN) method for identifying the hybrid OAM modes of V...

Full description

Bibliographic Details
Main Authors: Zebin Huang, Peipei Wang, Junmin Liu, Wenjie Xiong, Yanliang He, Xinxing Zhou, Jiangnan Xiao, Ying Li, Shuqing Chen, Dianyuan Fan
Format: Article
Language:English
Published: Elsevier 2019-12-01
Series:Results in Physics
Online Access:http://www.sciencedirect.com/science/article/pii/S2211379719327020

Internet

http://www.sciencedirect.com/science/article/pii/S2211379719327020

Similar Items