• Spectroscopy and Spectral Analysis
  • Vol. 40, Issue 12, 3930 (2020)
Xue-yuan WANG1、1、*, Jian-feng HE1、1, Lin LIU1、1, and Feng-jun NIE1、1
Author Affiliations
  • 1[in Chinese]
  • 11. Jiangxi Engineering Laboratory on Radioactive Geoscience and Big Data Technology, East China University of Technology, Nanchang 330013, China
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    DOI: 10.3964/j.issn.1000-0593(2020)12-3930-06 Cite this Article
    Xue-yuan WANG, Jian-feng HE, Lin LIU, Feng-jun NIE. Research on Adaptive Peak Detection of X-Ray Fluorescence Spectrum With Wavelet Transform and Derivative Method[J]. Spectroscopy and Spectral Analysis, 2020, 40(12): 3930 Copy Citation Text show less
    Measured spectrum of standard sample 1
    Fig. 1. Measured spectrum of standard sample 1
    Peak-finding results of first-order derivative method(a): Peak-finding results without smoothing; (b): Peak-finding results after mean smoothing-window size is 5
    Fig. 2. Peak-finding results of first-order derivative method
    (a): Peak-finding results without smoothing; (b): Peak-finding results after mean smoothing-window size is 5
    Even-order Gauss wavelet functions
    Fig. 3. Even-order Gauss wavelet functions
    Wavelet transform coefficients when the decomposition scale changes from 1 to 8
    Fig. 4. Wavelet transform coefficients when the decomposition scale changes from 1 to 8
    Peak-finding results by continuous wavelet transform method
    Fig. 5. Peak-finding results by continuous wavelet transform method
    Peak-finding by adaptive method based on derivative and wavelet transform(a): Peak-finding results for scale 1; (b): Union of peak-finding results
    Fig. 6. Peak-finding by adaptive method based on derivative and wavelet transform
    (a): Peak-finding results for scale 1; (b): Union of peak-finding results
    元素含量/%元素含量/%元素含量/%元素含量/%元素含量/%
    Na0.35Cl0.003 7Mn0.017As0.000 14Pb0.000 87
    MgO2.01K4.16Fe7.6Sr0.009Nb0.001 43
    SiO259.23Ca0.6Co0.002 1Zr0.009 6Th0.001 28
    Al18.82Ti0.4Ni0.003 7Sn0.000 2Rb0.020 5
    P0.069V0.008 8Cu0.004 2Ba0.045Ga0.002 6
    S0.006Cr0.009 9Zn0.005 5W0.000 079
    Table 1. The content of elements in standard sample 1
    分解
    尺度
    峰数量分解
    尺度
    峰数量分解
    尺度
    峰数量分解
    尺度
    峰数量
    12293017242519
    236103218292620
    338112819262728
    445122820282822
    537132721302917
    633142822253023
    732152923223124
    832162824333220
    Table 2. Peak-finding results for wavelet transform coefficient spectrum with different decomposition scale
    道址对应
    元素
    Scale道址对应
    元素
    Scale道址对应
    元素
    Scale
    142Mg2569Ba11 090W3
    179Al1575Ti11 117Zn2
    210Si1632V21 202Ga21
    247P4692Cr21 382As30
    299S4757Mn21 387Pb30
    328Cl8823Fe11 660Th6
    419K1902Co11 744Rb10
    452Sn1963Ni31 911Sr10
    466Ca11 047Cu9
    Table 3. Results of peak-finding
    Xue-yuan WANG, Jian-feng HE, Lin LIU, Feng-jun NIE. Research on Adaptive Peak Detection of X-Ray Fluorescence Spectrum With Wavelet Transform and Derivative Method[J]. Spectroscopy and Spectral Analysis, 2020, 40(12): 3930
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