Study of γ energy spectrum denoising based on improved wavelet threshold method

被引：0
|
作者：
Li L.-H. [1 ]
He J.-F. [1 ,2 ]
Wang Q. [1 ]
Wang Y. [1 ]
机构：
[1] College of Information Engineering, East China Institute of Technology, Nanchang
[2] College of Software, East China Institute of Technology, Nanchang
来源：
Yuanzineng Kexue Jishu/Atomic Energy Science and Technology | 2016年 / 50卷 / 07期
关键词：
Smoothness; Threshold function; Wavelet denoising; γ energy spectrum;
D O I：
10.7538/yzk.2016.50.07.1279
中图分类号：
学科分类号：
摘要：
In the process of γ energy spectrum measurement, how to smooth spectrum data effectively concerns the accuracies of determination of the peak channel address and the calculation of the peak area. Based on the wavelet analysis, the imperfections of key factors that influence the results of denoising (threshold selection method and threshold function) were analyzed and improved. The results show that the smoothness index and the ratio of energy of denoised energy spectrum and original energy spectrum for the improved wavelet threshold method are 0.9853 and 0.9998, respectively, and the denoising effect of the improved wavelet threshold method is better than that of other methods. © 2016, Editorial Board of Atomic Energy Science and Technology. All right reserved.
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收藏
页码：1279 / 1283
页数：4
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