The Hilbert–Huang method is presented with modifications, for time-frequency analysis of distorted power quality signals. The empirical mode decomposition (EMD) is enhanced with masking signals based on fast Fourier transform (FFT), for separat

能进行经验模态分解，希尔伯特黄变换以及谱分解等(Can an empirical mode decomposition and Hilbert huang transform and spectral decomposition)

经验模态分解程序包 希尔伯特黄变换程序的matlab程序仅供参考(Empirical mode decomposition package Hilbert Huang transform program)

运行emd,得到输入信号X的固有模态函数（imf），每列代表着信号X的一阶分量，X就是我们采集的信号。 hhtdn是hht去噪的程序，可以不看，仅看emd 和 findpeaks wvtdn是wavelet去噪程序，如果只是分解信号，仅用下面的语句即可 [C,L] = wavedec(x_noise,dl,wn); x_noise就是我们采集的信号，dl是分解的阶数，wn是分解的母小波名称(% Empiricial Mode Decomposition (Hilbert-Huang

信号处理及希尔伯特变换，可以用于非平稳信号处理(Signal processing and Hilbert transform can be used for non-stationary signal processing)