Laser & Optoelectronics Progress, Volume. 62, Issue 9, 0930003(2025)

High-Resolution Computational Spectrometer Based on Automatic Differentiation Optimization Algorithm

Yangfan Qi1... Junrui Liang1, Jun Li1, Jiangming Xu1, Jinyong Leng1,2,3 and Pu Zhou1,* |Show fewer author(s)
Author Affiliations
  • 1College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha 410073, Hunan , China
  • 2Nanhu Laser Laboratory, National University of Defense Technology, Changsha 410073, Hunan , China
  • 3Hunan Provincial Key Laboratory of High Energy Laser Technology, National University of Defense Technology, Changsha 410073, Hunan , China
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    References(53)

    [9] Cui T, Yin L, Liang P et al. Development and prospects of spectral reduction technology of echelle spectrometer (Invited)[J]. Laser & Optoelectronics Progress, 61, 0330003(2024).

    [21] Wang J J, Mo Q Q, Yang T. Deep learning-based unordered dispersion mini spectrometer[J]. Laser & Optoelectronics Progress, 62, 0730001(2025).

    [36] Chen H Y. Research on spectral analysis method based on multimode fiber speckle[D](2022).

    [40] Yang W Y. Theory and applications of machine learning based on differential equations[D](2024).

    [42] Han Z L. Two neural networks methods for numerical solutions of partial differential equations[D](2021).

    [47] Li C. Research on implementation and optimization of source code transformation-based automatic differentiation[D](2022).

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    Yangfan Qi, Junrui Liang, Jun Li, Jiangming Xu, Jinyong Leng, Pu Zhou. High-Resolution Computational Spectrometer Based on Automatic Differentiation Optimization Algorithm[J]. Laser & Optoelectronics Progress, 2025, 62(9): 0930003

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    Paper Information

    Category: Spectroscopy

    Received: Aug. 19, 2024

    Accepted: Sep. 23, 2024

    Published Online: Apr. 23, 2025

    The Author Email: Zhou Pu (zhoupu203@163.com)

    DOI:10.3788/LOP241858

    CSTR:32186.14.LOP241858

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