摘要
经验模态分解(EMD)是一种分析非线性非平稳信号的时频分析方法.基于该方法提出一种新的自适应滤波算法EMD-LMS,并对滤波后信号进行谱分析.实验表明:与经典的功率谱分析方法相比,本文提出的谱分析方法具有更好的分辨率.
The empirical mode decomposition （EMD） is recently proposed as a new time -frequency analysis tool for nonstationary and nonlinear signals. Based on this, a method of adaptive filter signal analysis - EMD - LMS is firstly introduced in this paper. Secondly, spectrum analysis of simulated signals is carried out with the adoption of EMD - LMS. Compared with traditional power spectrum analysis, EMD - LMS is a better method for signal analysis and processing.
出处
《昆明理工大学学报（理工版）》
北大核心
2009年第5期22-25,共4页
Journal of Kunming University of Science and Technology(Natural Science Edition)
基金
国家自然科学基金资助项目(项目编号:60872157)
关键词
经验模态分解
最小均方误差
功率谱分析
empirical mode decomposition
least mean square
power spectrum analysis
