Empirical mode decomposition (EMD) and Hilbert Huang transform (HHT)

1、 Content abstract

A little
329- Can communicate 、 consulting 、 Answering question

2、 Content description

A little

See reference for details

3、 Simulation analysis

clc
close all
clear
data = xlsread('X.xlsx');
fs = 8000;
t = 0:1/fs:(length(data)-1)/fs; 
figure(100)
plot(t,data)
xlabel(' Time /s');ylabel(' amplitude ');

[t_x,frequency_x,f_spectrum_x]=fft_s(data,0.5,fs); % Draw time frequency amplitude diagram
figure(101),surf(t_x,frequency_x,f_spectrum_x); % mapping
shading interp;
xlabel(' Time /s');ylabel(' frequency /Hz');zlabel(' amplitude ');title The signal

imf = emd(data); % Empirical decomposition
M = length(imf);
N = length(data);
for i = 1:M
    figure(i)
    plot(t,imf{i})
    xlabel(' Time /s');ylabel(' amplitude ');
end
 

 

4、 Reference paper

 

Empirical mode decomposition （EMD） And Hilbert - Huang Transform （HHT） Introduction and matlab Realization _ One string -sring The blog of -CSDN Blog _hht Transformed matlab Realization

Yes HHT in EMD Understanding of processing _ An old sheep's blog -CSDN Blog _emd The meaning of decomposition