摘要
Ensemble Empirical Mode Decomposition(集合经验模分解)是对EMD算法的改进,是一种新型的信号处理方法。本文基于EEMD提出一种新型算法EEMD-RLS,并对滤波后信号进行谱分析。结果证明:与经典的功率谱分析方法相比,本文通过滤波后的谱分析具有更好的分辨率。
Ensemble Empirical Mode Decomposition（EEMD） is a new approach of signal processing based on continuous improvement of EMD algorithm. In this paper, a novel algorithm EMD-RLS based on EEMD is presented, and a spectrum analysis is made with the signal after filtering. The simulation results show that the spectrum analysis after filtering represents a higher resolution, compared with the classical method of power spectrum analysis.
作者
任年新
刘增力
REN Nian-xin,LIU Zeng-li(Faculty of Information Engineering and Automation Kunming University of Science and Technology, Kunming, 650051 Chin)
出处
《软件》
2018年第3期157-159,共3页
Software
关键词
集合经验模分解
递归最小二乘
功率谱分析
Ensemble Empirical Mode Decomposition （EEMD）
Recursive Least Squares （RLS）
Power Spec-trum Analysis
