Research on the spectrum smoothing method based on MATLAB GUI

Wei CHEN; Lei MO; Jianbin ZHOU; Fang FANG; Xu HONG; Weicheng DING; Jie YU; Wei ZHOU

doi:10.11889/j.0253-3219.2018.hjs.41.060401

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Research on the spectrum smoothing method based on MATLAB GUI

NUCLEAR ELECTRONICS AND INSTRUMENTATION | 更新时间：2021-05-19

- Research on the spectrum smoothing method based on MATLAB GUI
- NUCLEAR TECHNIQUES Vol. 41, Issue 6, Article number: 060401(2018)
- 作者机构：
  
  1.成都航空职业技术学院信息工程学院成都 610100
  2.成都理工大学核技术与自动化工程学院成都 610059
- 作者简介：
- 基金信息：
  
  the National Key Research and Development Program of China;National Natural Science Foundation of China;National Natural Science Foundation of China;Scientific Research Fund of Sichuan Provincial Education Department;Chengdu Aeronautic Polytechnic Project
- DOI：10.11889/j.0253-3219.2018.hjs.41.060401
  CLC： TL311.1
- Received：28 November 2017，
  
  Revised：10 March 2018，
  
  Published：10 June 2018
- 稿件说明：
移动端阅览
Wei CHEN, Lei MO, Jianbin ZHOU, et al. Research on the spectrum smoothing method based on MATLAB GUI[J]. Nuclear techniques, 2018, 41(6): 060401
DOI：

Wei CHEN, Lei MO, Jianbin ZHOU, et al. Research on the spectrum smoothing method based on MATLAB GUI[J]. Nuclear techniques, 2018, 41(6): 060401 DOI： 10.11889/j.0253-3219.2018.hjs.41.060401.

摘要

谱线平滑可以去除实测核能谱中的统计涨落并保留谱峰重要信息。首先介绍了高斯平滑和SavitzkyGolay（SG）平滑的原理与实现方法，然后基于矩阵实验室图形界面开发环境（Matrix Laboratory Graphical User Interface，MATLAB GUI）设计了谱线分析工具，对谱数据进行在线实时和离线批量处理。最后对石墨预衍射X荧光分析仪实测的U标准样数据作平滑分析，并引入相关系数来评价平滑效果。实验结果表明：当谱峰幅值较大时，高斯平滑的平滑度指标较好，当谱峰幅值较小时，SG平滑显现优势；高斯平滑的参数设置较灵活，但运算较复杂，需用到矩阵计算，SG平滑的算法较简洁，代码执行时间更短。因此，实际工程应用中，应综合考虑在维持较好平滑度和相关系数指标的情况下，合理选择平滑方法和参数。

Abstract

Background

Spectrum smoothing can remove the statistical fluctuations in the measured energy spectrum and retain important information of the spectral peaks. Each spectrum smoothing method has its own advantages

and is not always effective in any case.

Purpose

This study aims at the application of spectrum smoothing methods with different smoothing times and parameters

and evaluate smoothing methods based on smoothness and correlation coefficient respectively.

Methods

A spectrum analysis tool which is integrated Gauss smoothing and Savitzky-Golay (SG) methods is designed based on Matrix Laboratory Graphical User Interface

(MATLAB GUI). It is applicable to real-time and off-line batch processing of spectral data with a few necessary steps. One spectrum captured by the graphite pre-diffraction X fluorescence analyzer is processed by the designed tool

and the correlation coefficient is introduced to evaluate the smoothness.

Results

Experimental results show that the smoothness of the Gauss smoothing is better than SG when the peak amplitude is larger. Whilst SG outperform Gauss smoothing when the peak amplitude is small. The Gauss smoothing parameters are more flexible than that of SG

but the operation is more complex that needs matrix manipulation. The SG smoothing algorithm is simple and the execution time of the code is short.

Conclusion

The smoothing methods and parameters should be selected in accordance with actual conditions to maintain good smoothness and correlation coefficient for spectrum smoothing.

关键词

Keywords

references

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