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Decomposition and recovery on MA superposition process using ICA
基于ICA的滑动平均序列叠加过程的分解与复原

Keywords: Independent Component Analysis(ICA),higher-order cumulant,Moving Average(MA)model
独立成分分析
,高阶累积量,滑动平均模型

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Abstract:

Decomposition and recovery on Moving Average(MA)superposition process contained in multivariable time series were researched in this paper.Firstly,because of the independence of the high-order statistical information,the mixtures were separated by searching a reversible matrix with the Independent Component Analysis(ICA)algorithm-fixed point algorithm.Then an adaptive method was designed to identify MA model based on higher-order cumulant.In every iteration,it estimated the order and the parameters of MA.Fi...

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