摘要
为了克服Hilbert-Huang变换中的端点效应,利用时变参数ARMA(AutoregressiveMovingAverage)模型对信号进行外延后再进行EMD(EmpiricalModeDecomposition)分解,在一定程度上克服了EMD方法的端点效应问题;同时利用时变参数ARMA模型对IMF(IntrinsicModeFunction)分量进行延拓后再进行Hilbert变换,有效地抑制了Hilbert变换中的端点效应,可以得到准确的瞬时频率和瞬时幅值。
A method of restraining the end effects in Hilbert-Huang transform is proposed. The end effects of EMD (Empirical Mode Decomposition) method are restrained in a certain degree because the sigual is decomposed by EMD after extended by using time-varying ARMA (Autoregressive Moving Average) model. The Hilbert transform is applied to the IMF (Intrinsic Mode Function) after the IMF is extended by time-varying ARMA model. Thus, the end effects in Hilbert transform can be restrained and the accurate instantaneous frequency and instantaneouus amplitude can be obtained.
出处
《振动与冲击》
EI
CSCD
北大核心
2005年第6期40-42,47,共4页
Journal of Vibration and Shock
基金
国家自然科学基金(编号:50275050)
高等学校博士点专项科研基金(编号:20020532024)资助项目
作者简介
程军圣 男，博士生，副教授，1968年生
