请用matlab写出EEMD分解后用相关系数判断保留哪些imf的代码

Sure, here is an example MATLAB code for performing EEMD decomposition and using the correlation coefficient to determine which IMF components to retain:

% Load your signal data here
% signal = ...

% Set EEMD parameters
numEnsemble = 100;   % Number of EEMD ensembles
numIMFs = 10;       % Number of IMF components to decompose

% Perform EEMD decomposition
emd = emd(signal, 'MAXMODES', numIMFs, 'MAXITERATIONS', numEnsemble);

% Calculate correlation coefficient for each IMF
correlation = zeros(numIMFs, 1);
for i = 1:numIMFs
    correlation(i) = corr(signal, sum(emd(1:i, :)));
end

% Determine which IMF components to retain based on correlation threshold
correlationThreshold = 0.8; % Set your desired threshold here
retainIMFs = find(correlation >= correlationThreshold);

% Plot original signal and retained IMFs
figure;
subplot(numIMFs+1, 1, 1);
plot(signal);
title('Original Signal');
xlabel('Time');

for i = 1:length(retainIMFs)
    subplot(numIMFs+1, 1, i+1);
    plot(sum(emd(1:retainIMFs(i), :)));
    title(['Retained IMF ', num2str(retainIMFs(i))]);
    xlabel('Time');
end

In this code, we first load the signal data and set the EEMD parameters, including the number of ensembles (`numEnsemble`) and the number of IMF components to decompose (`numIMFs`). We then perform the EEMD decomposition using the `emd` function.

Next, we calculate the correlation coefficient between the original signal and the sum of each retained IMF component using a loop. The correlation coefficients are stored in the `correlation` array.

To determine which IMF components to retain, we set a correlation threshold (`correlationThreshold`) and find the indices of IMF components with correlation coefficients greater than or equal to the threshold using the `find` function. The indices are stored in the `retainIMFs` array.

Finally, we plot the original signal and the retained IMF components using a loop. The original signal is plotted in the first subplot, and the retained IMF components are plotted in subsequent subplots.

Please note that this code assumes you have the EMD/EEMD toolbox installed in MATLAB. You may need to adjust the code according to your specific requirements and data format.