Infrared and Laser Engineering, Volume. 51, Issue 5, 20210419(2022)

Demodulation method of overlapping spectrum based on convolutional neural network

Hanlin Liu1,2, Jingtao Xin1,2, Wei Zhuang1,2、*, Jiabin Xia3, and Lianqing Zhu1,2
Author Affiliations
  • 1Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing University of Information Technology, Beijing 100192, China
  • 2Beijing Laboratory of Optical Fiber Sensing and Systems, Beijing Information Science & Technology University, Beijing 100016, China
  • 3School of Instrument Science and Opto-electronics Engineering, Hefei University of Technology, Hefei 230009, China
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    References(11)

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    [9] Yan H, Yu M, Xia J, et al. Diverse region-based cnn for tongue squamous cell carcinoma classification with Raman spectroscopy[J]. IEEE Access, 8, 127313(2020).

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    [1] Xiuyue YOU, Yi TANG, Lijun ZHANG, Dongxiao WANG, Yonghui LI, Su ZHANG. Design and experiment on high-precision synchronous control of multispectral infrared camera[J]. Infrared and Laser Engineering, 2024, 53(11): 20240236

    [2] Jianhong SU, Xing ZHU, Tong JIAO. FPGA high-precision FBG sensing demodulation system based on adaptive peaking algorithm[J]. Infrared and Laser Engineering, 2024, 53(11): 20240273

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    Hanlin Liu, Jingtao Xin, Wei Zhuang, Jiabin Xia, Lianqing Zhu. Demodulation method of overlapping spectrum based on convolutional neural network[J]. Infrared and Laser Engineering, 2022, 51(5): 20210419

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    Paper Information

    Category: Optical communication and sensing

    Received: Dec. 25, 2021

    Accepted: --

    Published Online: Jun. 14, 2022

    The Author Email: Wei Zhuang (zhuangwei@bistu.edu.cn)

    DOI:10.3788/IRLA20210419

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