基于模极大值法的γ能谱数据处理与分析  

Processing and Analysis of γ Energy Spectrum Data Based on Modulus Maximum Method

作　　者：曾晨浩 冯孝杰[1] 段中山[1] 秦冰[1] 武艺[1] 敖漉[1] 

机构地区：[1]后勤工程学院,重庆401331

出　　处：《原子能科学技术》2017年第7期1305-1310,共6页Atomic Energy Science and Technology

基　　金：863计划资助项目(2012AA06350);后勤工程学院青年基金资助项目(YQ16-420301)

摘　　要：本文研究了Lipschitz指数与小波变换应用于γ能谱数据奇异点的使用方法,分析了模极大值去噪原理和Mallat提出的交替投影重构算法,建立了基于模极大值法γ能谱数据处理模型,基于MATLAB设计了小波变换模极大值去噪软件,通过实测γ能谱数据仿真分析基于模极大值法的γ能谱数据处理模型的效果。结果表明,利用小波变换模极大值法降噪,用交替投影法重构能谱数据,降噪效果较好。In present paper,the method of processing the singular points ofγenergy spectrum was established by using Lipschitz exponent and wavelet transform.The principle of modulus maximum denoising and the alternating projection reconstruction algorithm proposed by Mallat were analyzed,and the processing model ofγray energy spectrum data was established.The wavelet transform modulus maximum denoising software was designed based on MATLAB,and the method was simulated and analyzed with the actual-measurementγray energy spectrum data.The results show that the method using wavelet transform and alternating projection is good at noise reduction and reconstructing the energy spectrum data.

关 键 词：小波变换 模极大值 交替投影 Γ能谱 MATLAB 

分 类 号：TL817.2[核科学技术—核技术及应用]