摘要
提出用小波降噪后再用经验模态分解(EMD)对信号进行分析,利用小波包对信号分解重构,去除噪声干扰信号,然后再对信号进行EMD分解。该方法减少噪声对EMD分解的干扰,从而减少由于分解无用的噪声信号引入的边界效应误差和分解层数,提高EMD分解的准确性和时效性,使EMD算法在信号的分析中更具实用性。
To analyse signal based on empirical mode decomposition （ EMD） after wavelet denoise is proposed. This method can decrease unnecessary noise influence upon EMD, reduce the edge effects of EMD and decomposition layers of signals, improve the accuracy and time effect of EMD. It makes this algorithm more practical.
出处
《噪声与振动控制》
CSCD
北大核心
2008年第3期74-77,共4页
Noise and Vibration Control
