| Research on Comparison and Evaluation Studies of Several Smoothing Denoising Method Based on γ-ray Spectrum Detector |
| |
| 作者姓名： | Jian-Feng He Fang Fang Yao-Zong Yang Yue-Shun He Bin Tang |
| |
| 作者单位： | College of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Chengdu 610059, China;College of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Chengdu 610059, China;College of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Chengdu 610059, China;Key Laboratory ofRadioactive Geology and Exploration Technology Fundamental Science for National Defense, East China Institute of Technology, Nanchang 330013, China;Key Laboratory ofRadioactive Geology and Exploration Technology Fundamental Science for National Defense, East China Institute of Technology, Nanchang 330013, China |
| |
| 基金项目： | Sponsored by the Natural Science Fundation of Jiangxi Province (Grant No.20114BAB211026 and 20122BAB201028), the Open Science Fund from Key Laboratory of Radioactive Geology and Exploration Technology Fundamental Science for National Defense, East China Institute of Technology (Grant No.2010RGET11). |
| |
| 摘 要： | The extraction of spectral parameters is very difficult because of the limited energy resolution for NaI(TI)JP] 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.
|
| 关 键 词： | γ-spectrum data-processing smoothing denoising method comparison and evaluation matlab programming |
| 收稿时间： | 2012/12/24 0:00:00 |
| 本文献已被 维普 万方数据 等数据库收录！ |
| 点击此处可从《哈尔滨工业大学学报(英文版)》浏览原始摘要信息 |
|
点击此处可从《哈尔滨工业大学学报(英文版)》下载全文 |
|
