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Laser & Optoelectronics Progress, Volume. 60, Issue 9, 0930006(2023)

X-ray Fluorescence Spectral Denoising Analysis Based on the Russian Roulette Optimized Wavelet Algorithm

Jun Hao1,2, Fusheng Li3,4、*, Wanqi Yang3,4, Benyong Yang5, Qingya Wang2, and Jie Cao1,2
Author Affiliations
  • 1Engineering Research Center of Nuclear Technology Application, Ministry of Education, East China University of Technology, Nanchang 330013, Jiangxi , China
  • 2State Key Laboratory of Nuclear Resources and Environment, East China University of Technology, Nanchang 330013, Jiangxi , China
  • 3Research Center for Intelligent Equipment, School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, Sichuan , China
  • 4Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou 313001, Zhejiang , China
  • 5Center for Remote Sensing, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, Anhui , China
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    Article index updated: Mar. 14, 2025

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    Jun Hao, Fusheng Li, Wanqi Yang, Benyong Yang, Qingya Wang, Jie Cao. X-ray Fluorescence Spectral Denoising Analysis Based on the Russian Roulette Optimized Wavelet Algorithm[J]. Laser & Optoelectronics Progress, 2023, 60(9): 0930006

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    Paper Information

    Category: Spectroscopy

    Received: Nov. 8, 2022

    Accepted: Feb. 8, 2023

    Published Online: May. 9, 2023

    The Author Email: Li Fusheng (lifusheng@uestc.edu.cn)

    DOI:10.3788/LOP222994

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology