X射线荧光光谱的交叉验证傅里叶变换平滑

袁昌旺; 王爱民; 戴志勇

doi:10.11889/j.0253-3219.2018.hjs.41.110202

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X射线荧光光谱的交叉验证傅里叶变换平滑

低能加速器技术、射线技术及应用 | 更新时间：2021-05-19

- X射线荧光光谱的交叉验证傅里叶变换平滑
- Use cross validation Fourier transform to smooth X-ray fluorescence spectra
- 核技术 2018年41卷第11期文章编号：110202
- 作者机构：
  
  东南大学仪器科学与工程学院南京 210096
- 作者简介：
  
  [ "袁昌旺, 男, 1994年出生, 2016年毕业于东南大学, 现为硕士研究生, 研究领域为X射线荧光光谱研究", "YUAN Changwang, male, born in 1994, graduated from Southeast University in 2016, master student, focusing on X-ray fluorescence spectrometry" ]
  王爱民, E-mail:profwangseu@163.comWANG Aimin, E-mail:profwangseu@163.com
- 基金信息：
  
  国家重大科学仪器设备开发项目(2013YQ17052502)
- DOI：10.11889/j.0253-3219.2018.hjs.41.110202
  中图分类号： TH842
- 收稿日期：2018-03-02，
  
  修回日期：2018-05-15，
  
  纸质出版日期：2018-11-10
- 稿件说明：
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袁昌旺, 王爱民, 戴志勇. X射线荧光光谱的交叉验证傅里叶变换平滑[J]. 核技术, 2018,41(11):110202

Changwang YUAN, Aimin WANG, Zhiyong DAI. Use cross validation Fourier transform to smooth X-ray fluorescence spectra[J]. Nuclear techniques, 2018, 41(11): 110202
袁昌旺, 王爱民, 戴志勇. X射线荧光光谱的交叉验证傅里叶变换平滑[J]. 核技术, 2018,41(11):110202 DOI： 10.11889/j.0253-3219.2018.hjs.41.110202.

Changwang YUAN, Aimin WANG, Zhiyong DAI. Use cross validation Fourier transform to smooth X-ray fluorescence spectra[J]. Nuclear techniques, 2018, 41(11): 110202 DOI： 10.11889/j.0253-3219.2018.hjs.41.110202.

摘要

针对当前谱光滑处理方法大多需要大量的实验以获取先验知识的问题，提出了一种基于交叉验证的傅里叶变换去噪法。在傅里叶变换去噪的基础上，该方法利用交叉验证确定最优阈值，实现X射线荧光光谱的自动去噪。实验结果表明：不同信噪比下，交叉验证确定的最优阈值和实际最优阈值的相对误差小于30%，该方法取得良好的光滑效果。和小波阈值去噪法相比，该方法具有使用简单的优点；和Savitzky-Golay多项式滤波器法相比，该方法具有更高的准确度。

Abstract

Background

Spectral smoothing is the basis of qualitative and quantitative analysis in X-ray fluorescence (XRF) spectra. However

most of the current spectral smoothing methods require a large number of experiments to obtain prior knowledge.

Purpose

This study aims to propose a novel method to automatically denoise XRF spectra.

Methods

Based on Fourier transform denoising

the optimal threshold is determined by cross validation to achieve automatic noise elimination.

Results

Simulation results show that the relative error between the optimal threshold determined by cross validation and the actual optimal threshold is less than 30% under different signal-to-noise ratios.

Conclusion

Proposed cross validation Fourier transform method has the advantages of convenience compared with wavelet threshold denoising method

and preserve higher precision than that of Savitzky-Golay polynomial filter method.

关键词

Keywords

references

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