Gamma spectrum denoising method based on improved wavelet threshold

Xie Bo; Xiong Zhangqiang; Wang Zhijian; Zhang Lijiao; Zhang Dazhou; Li Fusheng

doi:10.1016/j.net.2020.01.025

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자료유형: 학술저널

저자정보: 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 (East China University of Technology) Zhang Lijiao (East China University of Technology) Zhang Dazhou (Hunan Key Laboratory of Nonferrous Resources and Geological Hazards Exploration) Li Fusheng (East China University of Technology)

저널정보: 한국원자력학회 Nuclear Engineering and Technology Nuclear Engineering and Technology 제52권 제8호

발행연도: 2020.8

수록면: 1,771 - 1,776 (6page)

DOI: 10.1016/j.net.2020.01.025

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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

#Gamma spectrum #Denoising #Wavelet threshold

참고문헌 (31)

참고문헌 신청

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F.A. Maya / 2019 / Neutron and gamma energy spectrum of the subcritical assembly for 99Mo production (SAMOP) / J. Phys. Conf. 1153

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J. Ordonez / 2019 / Intercomparison of full energy peak efficiency curves for an HPGe detector using MCNP6 and GEANT4 / J. Radiat. Phys. Chem. 155:248~251

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