摘要
经验模式分解(EMD)是1998年由Huang等人提出的新的分析和处理非平稳信号的方法。目前对于EMD算法的端点效应问题,有包括神经网络延拓法、镜像延拓法在内的多种处理方法。但是这些方法都存在计算量大的问题,为了有效减少计算量,通过对镜像延拓法的研究,提出了一种改进的端点效应抑制方法。最后通过仿真,证实该方法不仅有效地抑制了端点效应,而且也大大减少了计算量,提高了算法的运行速度。
Having been put forward by Huang in 1998,Empirical Mode Decomposition（EMD） is a new way to analyze and deal with nonstationary signal.At present,there are many ways to solve the end issue of the EMD,includes neural network based data sequence extension method,mirror extension method,and so on.But all the methods have a huge quantity of calculation.For reducing the quantity of calculation effectively,after studying the mirror extension method,an improved method is promoted to solve the end issue.Finally,the simulation shows that the improved method not only solve the end issue effectively,but also reduce the quantity of calculation.It advances the pace of the algorithm.
出处
《航天电子对抗》
2011年第2期58-61,共4页
Aerospace Electronic Warfare
关键词
经验模式分解
端点效应
本质模式函数
empirical mode decomposition
end issue
intrinsic mode function
