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+
+1) Matlab files (.mat) may be read in Python using the Scipy library, loadmat method : scipy.io.loadmat(filename).
+
+2) In order to build the spectrogram images shown in Fig. 3, the following Matlab function was used:
+
+% create a time vector that has the same number of point (90000)
+% Sampling rate = 2000Hz
+timevec = -5:1/2000:40-(1/2000)
+
+%load the file
+load('f03_B_001_Time-frequency-matrix-global-WT.mat')
+
+% generate the spectrogram
+contourf(timevec, linspace(0, 200, 200), tf_WT, 60, 'linecolor', 'none');
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