摘要
针对经验模态分解中存在的端点效应问题,提出了一种基于标准化自协方差相关窗函数的改进算法。利用标准化自协方差相关函数作为判定准则,在原信号内部寻找与端点处波形最相似,幅值差异最小的一段波形,用此段波形代替产生端点效应的包络线进行迭代。为有效降低分解误差,对延拓后的信号加窗函数,再进行经验模态分解。通过仿真和工程试验结果表明该算法可以有效地抑制端点效应,具有较高的分解精度,与其他几种常见算法相比具有算法简单、易于实现的特点。
In order to solve the problem of end effect in EMD,a standardized covariance window function improved algorithm is proposed.A standardized self-covariance correlation function is used for the similarity criterion of the internal signal to find the endpoint waveform which is the smallest amplitude difference waveforms for data extension,instead of this segmentation waveform to produce the end effect to iterate the envelope.In order to reduce the decomposition error,the analyzed signal is preprocessed by multiplying with the defined window,and the EMD method is used to analyze the preprocessed signal.Simulation and experimental results show that the algorithm can effectively restrain the end effect.The algorithm is simple and easy to implement compared with several other common algorithm.
引文
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