相关系数
稳健性(进化)
计算机科学
算法
互相关
相关性
相似性(几何)
谐波
信号(编程语言)
相似
人工智能
噪音(视频)
模式识别(心理学)
数学
统计
物理
机器学习
几何学
声学
图像(数学)
基因
化学
程序设计语言
生物化学
作者
Hong-bai Yang,Shulin Liu,Hongli Zhang
标识
DOI:10.21595/jve.2016.17236
摘要
The variational mode decomposition (VMD) proposed recently is a kind of time-frequency signal analysis method. VMD has some advantages on signal decomposition such as high precision and noise robustness, but its serious shortcoming is that the number of modes (K) should be given in advance. And if the number is chosen inappropriately, VMD will lead to larger decomposition error. In this paper, the VMD method is introduced and the over- and under-segment characters of VMD are discussed. The cross correlation coefficients can express the similarity between the two signals. Cross correlation coefficients among VMD components and the original signal are used to judge whether over-segment takes place. As a result, the estimation method of VMD parameter K is proposed. Based on the method, the tri-harmonic signal and the vibration signals of ball bearings are analyzed in detail. The results show that the proposed method is feasible and effective.
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