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在分析经典EMD(Empirical Mode Decomposition)和高阶极值点逆向筛分EMD方法的基础上,提出了一种基于二阶包络逆EMD的改进方法。该方法结合标准EMD与逆EMD的良好属性,采用一阶、二阶包络,通过给定条件在筛分过程选择最优包络均值进行筛分。实验结果表明:该方法适用于分解频率差值较低的多分量信号且减小高频分量误差;有效地减小估计误差及抑制多余IMF分量;以最优包络作为筛分包络,EMD分解效果更佳。
Based on the analysis of EMD (Empirical Mode Decomposition) and EMD method of high-order extreme points, an improved method based on second-order envelope inverse EMD is proposed. This method combines the good properties of standard EMD and inverse EMD, and uses the first-order and second-order envelopes to select the optimal envelope mean value for screening under the given conditions. The experimental results show that this method is suitable for decomposing multi-component signals with low frequency difference and reducing high-frequency component errors, reducing the estimation error and restraining redundant IMFs effectively. Using the optimal envelope as the screening envelope, EMD Decomposition better.