经验模态分解(Empirical Mode Decomposition, 简称EMD))方法是由美国NASA的黄锷博士提出的一种信号分析方法.它依据数据自身的时间尺度特征来进行信号分解, 无须预先设定任何基函数。-Empirical Mode Decomposition

HHT就是先将信号进行经验模态分解（EMD分解），然后将分解后的每个IMF分量进行Hilbert变换，得到信号的时频属性的一种时频分析方法。-HHT is the first signal empirical mode decomposition (EMD decomposition), and then each IMF component decomposed Hilbert transform, frequency analysis method of time-frequency pro

该程序实现对信号进行经验模态分解，并进行多个IMF分量的比较。-The program for the signal to carry on the empirical mode decomposition, and carry on the comparison of multiple IMF component.

计算多重分形非趋势波动分析matlab程序,Pisarenko谐波分解算法,数据模型归一化，模态振动。- Calculation multifractal detrended fluctuation analysis matlab program, Pisarenko harmonic decomposition algorithm, Normalized data model, modal vibration.

信号处理中的一种新方法，具有分量分解提取功能(A new method in signal processing, which has the function of component decomposition and extraction.)