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基于幂次方法的快速核素识别应用分析

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摘要 便携式γ能谱分析仪的数字分析模块是核素定性分析的载体,算法是核心。本文对22Na源测量数据(γ能谱)进行Matlab仿真,在数学处理过程中采取不同平滑次数,然后进行幂次处理,对比分析幂次方法和传统方法的核素识别效果,发现幂次方法的核素识别能力明显优于传统方法。 The digital analysis module of the portable γ ray spectrometer is the carrier of the qualitative analysis, and the algorithm is the core . In this paper, it studies the22Na source Matlab simulation measurement data (γ spectrum). Process with different smoothing times in the process of mathematical treatment and then with power of the method . Compare results by radionuclide identiifcation power of the method and the traditional methods, power of the method is better than traditional methods to improve the radionuclide identiifcation speed.
出处 《科技传播》 2015年第15期62 42-,42,共2页 Public Communication of Science & Technology
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  • 1LI Jun-wu,YU Zhi-fu.A Method of Fusion Recognition Based on the Characteristic of Target and Incomplete Data. 2012 IEEE 11th International Conference on Signal Processing(ICSP 2012 ) . 2012

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