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Supervised by Ministry of Industry and Information Technology of The People's Republic of China Sponsored by Harbin Institute of Technology Editor-in-chief Yu Zhou ISSNISSN 1005-9113 CNCN 23-1378/T

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Related citation:Jian-Feng He,Fang Fang,Yao-Zong Yang,Yue-Shun He,Bin Tang.Research on Comparison and Evaluation Studies of Several Smoothing Denoising Method Based on γ-ray Spectrum Detector[J].Journal of Harbin Institute Of Technology(New Series),2013,20(2):7-11.DOI:10.11916/j.issn.1005-9113.2013.02.002.
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Research on Comparison and Evaluation Studies of Several Smoothing Denoising Method Based on γ-ray Spectrum Detector
Author NameAffiliation
Jian-Feng He College of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Chengdu 610059, China 
Fang Fang College of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Chengdu 610059, China 
Yao-Zong Yang College of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Chengdu 610059, China 
Yue-Shun He Key Laboratory ofRadioactive Geology and Exploration Technology Fundamental Science for National Defense, East China Institute of Technology, Nanchang 330013, China 
Bin Tang Key Laboratory ofRadioactive Geology and Exploration Technology Fundamental Science for National Defense, East China Institute of Technology, Nanchang 330013, China 
Abstract:
The extraction of spectral parameters is very difficult because of the limited energy resolution for NaI(TI) gamma-ray detectors. For statistical fluctuation of radioactivity under complex environment, some smoothing filtering methods are proposed to solve the problem. These methods include adopting method of arithmetic moving average, center of gravity, least squares of polynomial, slide converter of discrete funcion convolution etc. The process of spectrum data is realized, and the results are assessed in H/FWHM(Peak High/Full Width at Half Maximum) and peak area based on the Matlab programming. The results indicate that different methods smoothed spectrum have respective superiority in different ergoregion, but the Gaussian function theory in discrete function convolution slide method is used to filter the complex γ-spectrum on Embedded system platform, and the statistical fluctuation of γ-spectrum is filtered well.
Key words:  γ-spectrum data-processing  smoothing denoising method  comparison and evaluation  matlab programming
DOI:10.11916/j.issn.1005-9113.2013.02.002
Clc Number:TN91
Fund:

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