Nuclear Engineering and Technology

Korean Nuclear Society (한국원자력학회)
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Gamma spectrum denoising method based on improved wavelet threshold

  • Xie, Bo (Hunan Key Laboratory of Nonferrous Resources and Geological Hazards Exploration) ;
  • Xiong, Zhangqiang (Hunan Key Laboratory of Nonferrous Resources and Geological Hazards Exploration) ;
  • Wang, Zhijian (Engineering Research Center of Nuclear Technology Application, East China University of Technology, Ministry of Education) ;
  • Zhang, Lijiao (Engineering Research Center of Nuclear Technology Application, East China University of Technology, Ministry of Education) ;
  • Zhang, Dazhou (Hunan Key Laboratory of Nonferrous Resources and Geological Hazards Exploration) ;
  • Li, Fusheng (Engineering Research Center of Nuclear Technology Application, East China University of Technology, Ministry of Education)
  • Received : 2019.08.14
  • Accepted : 2020.01.20
  • Published : 2020.08.25
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Abstract

Adverse effects in the measured gamma spectrum caused by radioactive statistical fluctuations, gamma ray scattering, and electronic noise can be reduced by energy spectrum denoising. Wavelet threshold denoising can be used to perform multi-scale and multi-resolution analysis on noisy signals with small root mean square errors and high signal-to-noise ratios. However, in traditional wavelet threshold denoising methods, there are signal oscillations in hard threshold denoising and constant deviations in soft threshold denoising. An improved wavelet threshold calculation method and threshold processing function are proposed in this paper. The improved threshold calculation method takes into account the influence of the number of wavelet decomposition layers and reduces the deviation caused by the inaccuracy of the threshold. The improved threshold processing function can be continuously guided, which solves the discontinuity of the traditional hard threshold function, avoids the constant deviation caused by the traditional soft threshold method. The examples show that the proposed method can accurately denoise and preserves the characteristic signals well in the gamma energy spectrum.

Keywords

References

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