EMD在非平稳随机信号消除趋势项中的研究与应用

Research on and Application of EMD in Eliminating Trend Item of Non-stationary Random Signals

通过研究EMD法的实现过程,在平稳随机信号中加入趋势项,仿真成均值具有趋向性的非平稳随机信号,并用最小二乘法、小波法和EMD法分别进行消除趋势项处理,通过比较消趋后信号和原始信号的均值、方差和相关系数等参考量,提出具有自适应性的EMD法在剔除非平稳随机信号趋势项中的可行性和实用性。

The trend item is joined into random signals by making research on the achieving process of EMD method, non-stationary random signals are simulated with trended-mean, and the least square method, the wavelet method and EMD method to deal with the elimination of the trend item and to compare are used the mean, variance and correlation coefficient of the original signals with the eliminated signals. This paper proposes the feasibility and practicality that adaptive EMD method is used to eliminate the trend item of non-stationary random signals.