Research of Signal Frequency Domain Resolution Based-EMD

Meng Hou, Zeng-li Liu, Haiyan Quan, Yong-de Zhang
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引用次数: 6

Abstract

Empirical Mode Decomposition (EMD) is an effective, non-linear and non-stationary data analysis method, which can decompose the original signal into several intrinsic mode functions(IMFs). However the frequency resolution of EMD has not been thoroughly investigated so far. In this paper a signal which contains two different frequency components was do composed with EMD, and subsequently the obtained IMFs was compared to evaluate the frequency resolution of EMD.
基于emd的信号频域分辨率研究
经验模态分解(EMD)是一种有效的非线性非平稳数据分析方法,它可以将原始信号分解为多个本征模态函数(imf)。然而,电磁脉冲的频率分辨迄今尚未得到深入的研究。本文对含有两种不同频率分量的信号进行了EMD合成,并对得到的imf进行了比较,评价了EMD的频率分辨率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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