深度学习为非正交光复用带来了新的曙光。
Deep learning sheds new light on non-orthogonal optical multiplexing.
作者信息
Huang Zhengzhong, Cao Liangcai
机构信息
Department of Precision Instruments, Tsinghua University, Beijing, China.
出版信息
Light Sci Appl. 2024 May 6;13(1):105. doi: 10.1038/s41377-024-01460-y.
Abstract
A deep neural network for non-orthogonal input channel encoding is proposed to recover speckle images through a multimode fiber. This novel approach could shed new light on the non-orthogonal optical multiplexing over a scattering medium.
摘要
提出了一种用于非正交输入通道编码的深度神经网络，以通过多模光纤恢复散斑图像。这种新方法可能为散射介质上的非正交光复用带来新的启示。
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