节点文献
GMM模型在核能谱平滑滤波中的应用
An application of GMM model in nuclear spectrum smoothing filtering
【摘要】 结合核能谱的统计特性,采用高斯混合模型(Gaussian mixture model,GMM)对核能谱进行平滑滤波处理。其基本思想是:利用GMM模型良好的逼近能力对核能谱进行函数逼近,为原始能谱曲线建立基于GMM的数学模型,在该模型的多次运算过程中实现更合理的平滑滤波。
【Abstract】 Based on statistical characteristics of nuclear spectrum,statistical model,namely Gaussian mixture model(GMM),was adopted for smoothing filtering of nuclear spectrum.The main idea for this method is to do function approximation of nuclear spectrum using good approximating performance of GMM,build mathematical model of original spectrum based on GMM,and realize more reasonable smoothing filtering of spectrum in the process of multiple operation by this model.
【关键词】 核能谱;
统计特性;
GMM;
平滑滤波;
【Key words】 Nuclear spectrum; Statistical characteristics; GMM; Smoothing filtering;
【Key words】 Nuclear spectrum; Statistical characteristics; GMM; Smoothing filtering;
【基金】 国家教育部博士点基金(20060616010)资助
- 【文献出处】 核技术 ,Nuclear Techniques , 编辑部邮箱 ,2010年05期
- 【分类号】O571.3
- 【被引频次】18
- 【下载频次】166