[1]杨斌,陈桂明,杨庆.基于标准化自协方差相关函数的EMD改进算法[J].计算机技术与发展,2013,(05):67-70.
　YANG Bin,CHEN Gui-ming,YANG Qing.Improved EMD Algorithm Based on Standardized Auto-covariance Correlation Function[J].,2013,(05):67-70.
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基于标准化自协方差相关函数的EMD改进算法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2013年05期
页码:
67-70
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
Improved EMD Algorithm Based on Standardized Auto-covariance Correlation Function
文章编号:
1673-629X（2013）05-0067-04
作者:
杨斌; 陈桂明; 杨庆
第二炮兵工程大学 装备管理工程系
Author(s):
YANG Bin; CHEN Gui-ming; YANG Qing
关键词:
经验模态分解; 端点效应; 标准化自协方差相关函数; 窗函数
Keywords:
empirical mode decomposition (EMD); end effect; standardized auto-covariance correlation function; window function
文献标志码:
A
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
Abstract:
In order to solve the problem of end effect in EMD,a standardized covariance window function improved algorithm is pro-posed. 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

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更新日期/Last Update: 1900-01-01