Chinese Optics Letters, Volume. 22, Issue 2, 020604(2024)

Fast mode decomposition for few-mode fiber based on lightweight neural network

Jiajia Zhao1, Guohui Chen1, Xuan Bi1, Wangyang Cai1, Lei Yue1, and Ming Tang2、*
Author Affiliations
  • 1School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha 410114, China
  • 2Wuhan National Laboratory for Optoelectronics (WNLO) and National Engineering Laboratory for Next Generation Internet Access System, School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China
  • show less
    References(37)

    [31] F. Chollet. Xception: deep learning with depthwise separable convolutions. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1800(2017).

    [32] A. Howard, M. Sandler, B. Chen et al. Searching for MobileNetV3. IEEE/CVF International Conference on Computer Vision (ICCV), 1314(2019).

    [33] A. W. Snyder, J. D. Love. Optical Waveguide Theory(1983).

    [34] A. G. Howard, M. Zhu, B. Chen et al. Mobilenets: efficient convolutional neural networks for mobile vision applications(2017).

    [35] P. Ramachandran, B. Zoph, Q. V. Le. Searching for activation functions(2017).

    Tools

    Get Citation

    Copy Citation Text

    Jiajia Zhao, Guohui Chen, Xuan Bi, Wangyang Cai, Lei Yue, Ming Tang, "Fast mode decomposition for few-mode fiber based on lightweight neural network," Chin. Opt. Lett. 22, 020604 (2024)

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: Aug. 11, 2023

    Accepted: Oct. 12, 2023

    Posted: Oct. 12, 2023

    Published Online: Feb. 23, 2024

    The Author Email: Ming Tang (tangming@mail.hust.edu.cn)

    DOI:10.3788/COL202422.020604

    CSTR:32184.14.COL202422.020604

    Topics