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A Method of Multiscale Modeling Based on the Irregular Tree for a Stochastic Process
基于不规则树的一类随机过程多尺度建模方法

Keywords: Irregular tree,Multiscale representation,Multiscale model,Markov process,Data fusion
不规则树
,多尺度表示,多尺度模型,Markov过程,数据融合,规则树,一类随机过程,多尺度,建模方法,Stochastic,Process,Tree,Irregular,Based,Multiscale,Modeling,有效性,仿真验证,计算机,建模过程,动态系统,表示方法,Markov,现象,多传感器,异步采样

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Abstract:

Based on the modeling methods with the regular tree-structured model, and the Markov characteristics in most phenomena or processes, the multiscale representation with one kind of stochastic processes are presented, and the corresponding multiscale models are also proposed by the introducing irregular tree structure, and some good functions from these new models are illustrated by numerical examples together with computer simulations.

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