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自适应阈值估计的MS模型仿真建模
引用本文:陈晓梅,孟晓风,王国华.自适应阈值估计的MS模型仿真建模[J].电子科技大学学报(社会科学版),2011(1).
作者姓名:陈晓梅  孟晓风  王国华
作者单位:华北电力大学电气与电子工程学院;北京航空航天大学仪器科学与光电工程学院;
摘    要:提出了一种改进的模拟电路多信号模型(MS模型)的仿真建模方法。采用Monte-Carlo方法实现电路的仿真,以获取电路特征的统计数据,利用经验公式法确定Monte-Carlo仿真的分析次数,可以减少仿真时间开销;同时,根据统计数据检验该特征的统计分布情况,再以此为依据采用自适应方法确定该特征的阈值估计区间,从而提高模型精度。最后进行了实例分析,验证了该建模方法的有效性;并从仿真时间与建模精度两个方面进行了性能比对,说明其具有的优势。

关 键 词:自适应  多信号模型  Monte-Carlo方法  仿真建模  统计分布  

Simulation-Based Multi-Signal Modeling with Adaptive Threshold Estimation
CHEN Xiao-mei,MENG Xiao-feng, WANG Guo-hua.Simulation-Based Multi-Signal Modeling with Adaptive Threshold Estimation[J].Journal of University of Electronic Science and Technology of China(Social Sciences Edition),2011(1).
Authors:CHEN Xiao-mei  MENG Xiao-feng  WANG Guo-hua
Institution:CHEN Xiao-mei1,MENG Xiao-feng2,and WANG Guo-hua2(1.School of Electrical and Electronic Engineering,North China Electric Power University Changping Beijing 102206,2.School of Instrumentation Science Opto-Electronics Engineering,Beihang University Haiding Beijing 100083)
Abstract:An improved simulation modeling approach of multi-signal model for analogue circuit is proposed.The Monte-carlo method is used in circuit simulation to acquire statistical data of circuit features.An empirical formula is adopted to determine the times of Monte-Carlo simulation for reducing the simulation's time-cost.Then,the statistical distributions of circuit features are decided by hypothesis testing using these statistical data.After that,an adaptive method is used to define the estimated threshold for ...
Keywords:adaptive  multi-signal model  Monte-Carlo method  simulation modeling  statistical distribution  
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