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Chinese Optics Letters
Vol. 17, Issue 10, 100603 (2019)

Analyzing OAM mode purity in optical fibers with CNN-based deep learning

Tianying Lin^1,2, Ang Liu^1,2, Xiaopei Zhang^1,2, He Li^1,2..., Liping Wang^1,2, Hailong Han^1,2, Ze Chen^1,2, Xiaoping Liu^1,2,* and Haibin Lü^1,2,**|Show fewer author(s)

Author Affiliations

¹National Laboratory of Solid State Microstructures and College of Engineering and Applied Sciences, Nanjing University, Nanjing 210093, China

²Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093, China

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DOI: 10.3788/COL201917.100603 Cite this Article Set citation alerts

Tianying Lin, Ang Liu, Xiaopei Zhang, He Li, Liping Wang, Hailong Han, Ze Chen, Xiaoping Liu, Haibin Lü, "Analyzing OAM mode purity in optical fibers with CNN-based deep learning," Chin. Opt. Lett. 17, 100603 (2019) Copy Citation Text

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Data from CrossRef

[1] Fufei Pang, Lina Xiang, Huanhuan Liu, Liang Zhang, Jianxiang Wen, Xianglong Zeng, Tingyun Wang. Review on Fiber-Optic Vortices and Their Sensing Applications. Journal of Lightwave Technology, 39, 3740(2021).

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Tianying Lin, Ang Liu, Xiaopei Zhang, He Li, Liping Wang, Hailong Han, Ze Chen, Xiaoping Liu, Haibin Lü, "Analyzing OAM mode purity in optical fibers with CNN-based deep learning," Chin. Opt. Lett. 17, 100603 (2019)

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