Chinese Optics, Volume. 17, Issue 6, 1329(2024)

Broad-band co-phase detection based on denoising convolutional neural network

Bin LI1, Yin-ling LIU1, A-kun YANG1, and Mo CHEN2、*
Author Affiliations
  • 1Intelligent Electromechanical Equipment Innovation Research Institute of East China Jiao-tong University, Nanchang 330013, China
  • 2Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China
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    References(18)

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    [9] [9] LI W Q, BAI Q, ZAN W, et al. SNR enhancement f BOTDA by DnCNN pulse coding[JOL]. Chinese Journal of Lasers, 115[20240424]. http:kns.cnki.kcmsdetail31.1339.TN.20240220.1406.092.html. (in Chinese).

    [10] [10] SCHT U, ROTH S. Shrinkage fields f effective image restation[C]. Proceedings of 2014 IEEE Conference on Computer Vision Pattern Recognition, IEEE, 2014: 27742781.

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    [15] JING T CH, DUAN H G, ZHAO X. Deep learning based channel estimation in PLC communication[J]. Study on Optical Communications, 220058(2024).

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    Bin LI, Yin-ling LIU, A-kun YANG, Mo CHEN. Broad-band co-phase detection based on denoising convolutional neural network[J]. Chinese Optics, 2024, 17(6): 1329

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    Paper Information

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    Received: Apr. 28, 2024

    Accepted: Jul. 12, 2024

    Published Online: Jan. 14, 2025

    The Author Email:

    DOI:10.37188/CO.2024-0079

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