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

Tianying Lin; Ang Liu; Xiaopei Zhang; He Li; Liping Wang; Hailong Han; Ze Chen; Xiaoping Liu; Haibin Lü

doi:10.3788/COL201917.100603

Journals >Chinese Optics Letters >Volume 17 >Issue 10 >Page 100603 > Article

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、**

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[J]. Chinese Optics Letters, 2019, 17(10): 100603 Copy Citation Text

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