对仿真的非平稳信号进行Hilbert-Huang变换，分析信号的时频特征。-The simulation of non-stationary signals, Hilbert-Huang transform analysis of time-frequency characteristics.

基于经验模态分解法（EMD）的Hilbert-Huang变换（HHT）的MATLAB程序。 可将非平稳信号转换为平稳信号，通过将IMF分量累加重构得到平稳信号 。 主程序为HHT.m，需要用到hhspectrum.m函数、instfreq.m函数（在压缩包内）和已安装的EMD工具箱中emd函数。(The empirical mode decomposition (EMD) method based on Hilbert-Huang transform (HHT) of the MATLAB

自适应白噪声的完整经验模态分解，在信号处理领域有强大的分解能力，是改进的HHT的一种方法，适合对非线性、非平稳信号进行分解。(Complete Ensemble Empirical Mode Decomposition with Adaptive Noise It has powerful decomposition ability in the field of signal processing which is an improved method of HHT It is sui