The LMD is a new method for analyzing non-stationary signals. It can decompose complicated signals into a set of single-component signals,each of which has physical sense. But performing the LMD will produce end effects which make results distortion. After analyzing the reasons for these,a self-adaptive waveform matching extending method was proposed to overcome the end effects of LMD. Considering both signal’s inner discipline and the edge of the signal,therefore the extension was reasonable and possessed adaptability.The analytical results from simulated signals and actual engineering signals demonstrate that the new method can be used to solve the end effects effectively.

local mean decomposition(LMD), end effect, waveform matching, self-adaptive

局部均值分解（LMD)能将复杂的信号自适应地分解成若干个具有物理意义的单分量信号，但是在其实现过程中会产生端点效应，使结果失真。在详细分析了LMD产生端点效应的原因后，提出了自适应波形匹配延拓法来解决端点效应。该方法充分考虑了信号的内在规律与边缘处的变化趋势，使延拓更加合理，且具自适应性。对仿真信号与实际工程信号进行了分析，结果表明该方法能有效抑制LMD分解的端点效应。

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局部均值分解, 端点效应, 波形匹配, 自适应