Share Results Using Signal Multiresolution Analyzer

Duplicate Decomposition

Create a new six-level decomposition using the order 4 Coiflet. In the Signal Multiresolution Analyzer tab, click Duplicate in the toolstrip. Since kobe1 is the currently selected item in Decomposed Signals, a duplicate of the first decomposition is created. The duplicate is called kobe1Copy. The plots in Reconstructions are updated to include the new decomposition. Except for the color, the duplicate is identical with the first decomposition. You can change the name of the duplicate by right-clicking on the name in Decomposed Signals.

In the MODWT tab, change the settings in the toolstrip to the following values and then click Decompose.

In Level Selection, note which components of the decomposition are included in the reconstruction: the approximation and the level 5 and level 6 details.

Level 4 has approximately 60% of the total energy. Remove levels 5 and 6 from the reconstruction, and include level 4. Show only the approximation and level 4 details in the Decomposition pane. To approximately align the decomposition with the reconstruction, drag the Decomposition pane beneath the Reconstructions pane.

Generate MODWT Script

You have three export options. You can export the reconstruction or the entire decomposition of the selected decomposed signal to your workspace, or you can export a MATLAB® script to recreate the decomposition in your workspace. To generate a script, in the Signal Multiresolution Analyzer tab click Export > Generate MATLAB Script.

An untitled script opens in your editor with the following executable code. The true-false values in levelForReconstruction correspond to which Include boxes are checked in Level Selection. You can save the script as is, or modify it to apply the same decomposition settings to other signals. Run the code.

% Logical array for selecting reconstruction elements
levelForReconstruction = [false,false,false,true,false,false,true];

% Perform the decomposition using modwt
wt = modwt(kobe,'coif4',6);

% Construct MRA matrix using modwtmra
mra = modwtmra(wt,'coif4');

% Sum down the rows of the selected multiresolution signals
kobe1Copy = sum(mra(levelForReconstruction,:),1);

Plot the original signal and reconstruction. Except for possibly the colors, the plot will match the kobe1Copy reconstruction shown in the app.

t = 0:numel(kobe)-1;
plot(t,kobe)
grid on
hold on
plot(t,kobe1Copy,LineWidth=2)
xlabel("Seconds")
title("Reconstruction")
legend("Original","Reconstruction",Location="northwest")
axis tight
hold off

Generate EMD Script

Add the EMD decomposition of the Kobe data by clicking Add ▼ and selecting EMD in the Signal Multiresolution Analyzer tab. The name of the decomposed signal in the Decomposed Signals pane is kobe3. By default, the reconstruction consists only of the residual. The decomposition is obtained by using the emd function with default settings.

Generate a script that creates the EMD decomposition by clicking Export > Generate MATLAB Script. An untitled script opens in your editor with the following executable code. Run the code.

% Logical array for selecting reconstruction elements
levelForReconstruction = [false,false,false,false,false,true];

% Perform the decomposition using EMD
[imf,residual,info] = emd(kobe, ...
    SiftRelativeTolerance=0.2, ...
    SiftMaxIterations=100, ...
    MaxNumIMF=5, ...
    MaxNumExtrema=1, ...
    MaxEnergyRatio=20, ...
    Interpolation='spline');

% Construct MRA matrix by appending IMFs and residual
mra = [imf residual].';

% Sum down the rows of the selected multiresolution signals
kobe3 = sum(mra(levelForReconstruction,:),1);

Compare the reconstruction kobe3 with the original signal. In this case, the reconstruction only consists of the residual.

plot(t,kobe)
grid on
hold on
plot(t,kobe3,LineWidth=2)
xlabel("Seconds")
title("Reconstruction")
legend("Original","Reconstruction",Location="northwest")
axis tight
hold off