基于相关系数的EMD改进算法

Improvement on Empirical Mode Decomposition Based on Correlation Coefficient

由美国国家航空航天局(NASA)的Huang等提出的Hilbert-Huang变换(HHT)是一种先进的时频分析方法,但HHT在经验模态分解(EMD)的过程中存在产生伪分量的问题。针对这一问题,提出了利用分解出的各个固有模态函数和原信号的相关系数去除伪分量的方法。并计算去除伪分量后的重构信号与原信号的相关系数,仿真和实验结果表明,采用该方法可以有效去除伪分量。

The paper discusses the problem of illusive component due to HHT, uses the correlation coefficient of IMFs and the signal as a criterion to decide which IMFs should be retained and which IMFs should be eliminated. The signal simulate test proved that this method to deal with the illusive component has an obvious advantage and reasonability.