Deep learning sheds new light on non-orthogonal optical multiplexing

Zhengzhong Huang; Liangcai Cao

doi:10.1038/s41377-024-01460-y

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Deep learning sheds new light on non-orthogonal optical multiplexing

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- Deep learning sheds new light on non-orthogonal optical multiplexing
- Deep learning sheds new light on non-orthogonal optical multiplexing
- Light: Science & Applications 2024年13卷第5期页码：808-809
- Affiliations：
- Author bio：
  
  bclc@tsinghua.edu.cn
- Funds：
- DOI：10.1038/s41377-024-01460-y
  中图分类号：
- 网络出版：2024-05-06，
  
  纸质出版：2024-12
- Accepted：
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Zhengzhong Huang, Liangcai Cao. Deep learning sheds new light on non-orthogonal optical multiplexing[J]. Light: Science & Applications, 2024,13(5):808-809.

Zhengzhong Huang, Liangcai Cao. Deep learning sheds new light on non-orthogonal optical multiplexing[J]. Light: Science & Applications, 2024, 13(5): 808-809.
Zhengzhong Huang, Liangcai Cao. Deep learning sheds new light on non-orthogonal optical multiplexing[J]. Light: Science & Applications, 2024,13(5):808-809. DOI： 10.1038/s41377-024-01460-y.

Zhengzhong Huang, Liangcai Cao. Deep learning sheds new light on non-orthogonal optical multiplexing[J]. Light: Science & Applications, 2024, 13(5): 808-809. DOI： 10.1038/s41377-024-01460-y.

摘要

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.

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references

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