基于MATLAB GUI的谱线平滑处理

陈伟; 莫磊; 周建斌; 方方; 洪旭; 丁卫撑; 喻杰; 周伟

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

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基于MATLAB GUI的谱线平滑处理

核电子学与仪器 | 更新时间：2021-05-19

- 基于MATLAB GUI的谱线平滑处理
- Research on the spectrum smoothing method based on MATLAB GUI
- 核技术 2018年41卷第6期文章编号：060401
- 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：
  
  [ "陈伟, 男, 1978年出生, 2008年于成都理工大学获硕士学位, 现为博士研究生, 从事核测控技术研究", "CHEN Wei, male, born in 1978, graduated from Chengdu University of Technology with a master's degree in 2008, doctoral student, engaged in nuclear measurement and control technology" ]
  莫磊, E-mail:nqnt@163.com MO Lei, E-mail: nqnt@163.com
- 基金信息：
  
  国家重点研发计划项目(2016YFC1402505);国家自然科学基金(41774140);四川省教育厅资助科研项目(18ZA0041);成都航院校级项目(061758);国家自然科学基金(11675028)
- DOI：10.11889/j.0253-3219.2018.hjs.41.060401
  中图分类号： TL311.1
- 收稿日期：2017-11-28，
  
  修回日期：2018-03-10，
  
  纸质出版日期：2018-06-10
- 稿件说明：
移动端阅览
陈伟, 莫磊, 周建斌, 等. 基于MATLAB GUI的谱线平滑处理[J]. 核技术, 2018,41(6):060401

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
陈伟, 莫磊, 周建斌, 等. 基于MATLAB GUI的谱线平滑处理[J]. 核技术, 2018,41(6):060401 DOI： 10.11889/j.0253-3219.2018.hjs.41.060401.

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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