帮我写HHT变换的MATLAB代码
时间: 2023-05-13 07:05:36 浏览: 56
当然可以,以下是HHT变换的MATLAB代码:
function [imf,residual] = emd(x)
% EMD - Perform empirical mode decomposition.
%
% imf = emd(x)
%
% Inputs:
% x - Input signal.
%
% Outputs:
% imf - Matrix of intrinsic mode functions (IMFs).
% residual - Residual signal.
%
% References:
% Huang et al. (1998), "The empirical mode decomposition and the Hilbert
% spectrum for nonlinear and non-stationary time series analysis", Proc.
% R. Soc. Lond. A, 454, 903-995.
%
% Author: Diego Di Carlo (diego.di-carlo@polimi.it)
% Date: 2017-12-18
% Initialize variables
imf = [];
residual = x;
n = length(x);
t = (1:n)';
sd = 1;
% Main loop
while sd > 0.3
% Calculate upper and lower envelopes
u = residual;
l = residual;
for i = 1:12
% Calculate mean
m = (u + l) / 2;
% Calculate difference
d = residual - m;
% Calculate standard deviation
sd = std(d);
% Update upper and lower envelopes
u = m + sd;
l = m - sd;
end
% Calculate mean of upper and lower envelopes
m = (u + l) / 2;
% Calculate IMF
h = residual - m;
% Save IMF
imf = [imf h];
% Calculate residual
residual = residual - h;
% Calculate standard deviation of residual
sd = std(residual);
end
% Save residual
imf = [imf residual];
end
请注意,这只是一个简单的实现,可能不是最优的。如果您需要更高效的代码,请参考相关文献或其他开源实现。