摘要
局部均值分解(Local Mean Decomposition,LMD)算法的端点效应会使该算法分解求出的各分量在端点附近产生一些变形,严重的时候会使数据产生失真。针对该问题,提出了能量匹配延拓法来抑制端点效应,并且通过计算信号分解前后的能量来衡量端点效应的影响大小。能量匹配延拓法,即从原始信号内部找出最符合信号趋势的波形对信号进行延拓,最大限度地维护信号的内在趋势。通过对仿真信号的分析,验证了该方法能有效抑制LMD方法中的端点效应问题。
The end effects of Local Mean Decomposition （LMD） method will cause deformation and distortion at the end of the single-component signals. The energy matching extension method is proposed to deal with the end effect. The sum of energy before and after signal decomposition is calculated to measure the power of the end effects. The most consistent waveform with the trend of the signal waveform is found from the original signal and then extended to maximize the inherent signal trend. The analytical results from simulated signals demonstrate that the new method can be used to solve the end effects effectively.
出处
《北京信息科技大学学报（自然科学版）》
2016年第6期37-40,共4页
Journal of Beijing Information Science and Technology University
基金
国家自然科学基金资助项目(51275052)
北京市自然科学基金重点资助项目(3131002)
关键词
局部均值分解
端点效应
能量匹配延拓法
local mean decomposition （LMD）
end effect
energy matching extension method
