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A wavelet-based Gaussian method for energy dispersive X-ray fluorescence spectrum

机译:基于小波的高斯能量色散X射线荧光光谱方法

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摘要

This paper presents a wavelet-based Gaussian method (WGM) for the peak intensity estimation of energy dispersive X-ray fluorescence (EDXRF). The relationship between the parameters of Gaussian curve and the wavelet coefficients of Gaussian peak point is firstly established based on the Mexican hat wavelet. It is found that the Gaussian parameters can be accurately calculated by any two wavelet coefficients at the peak point which has to be known. This fact leads to a local Gaussian estimation method for spectral peaks, which estimates the Gaussian parameters based on the detail wavelet coefficients of Gaussian peak point. The proposed method is tested via simulated and measured spectra from an energy X-ray spectrometer, and compared with some existing methods. The results prove that the proposed method can directly estimate the peak intensity of EDXRF free from the background information, and also effectively distinguish overlap peaks in EDXRF spectrum.
机译:本文提出了一种基于小波的高斯方法(WGM),用于能量色散X射线荧光(EDXRF)的峰强度估计。首先基于墨西哥帽小波建立高斯曲线参数与高斯峰值点的小波系数之间的关系。已经发现,可以通过必须知道的峰值点处的任何两个小波系数来精确地计算高斯参数。这一事实导致了频谱峰值的局部高斯估计方法,该方法基于高斯峰值点的细节小波系数来估计高斯参数。通过从能量X射线光谱仪模拟和测量的光谱对提出的方法进行了测试,并与现有方法进行了比较。结果表明,所提出的方法可以直接从背景信息中估计出EDXRF的峰强度,并且可以有效地区分EDXRF光谱中的重叠峰。

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