Hi,
The ‘spectogram’ function present in the signal processing toolbox returns the Short-Time Fourier Transform (STFT) of the input signal ‘x’. Each column of ‘s’ contains an estimate of the short-term, time-localized frequency content of ‘x’. The magnitude squared of ‘s’ is known as the spectrogram time-frequency representation of ‘x[1]’. The reference for the same is provided in the following documentation: https://www.mathworks.com/help/signal/ref/spectrogram.html
The time period provided in the input signal to the spectrogram function is reflected in the spectrogram plot obtained accordingly. However, if your data is large and scaled in minutes, you can use either the ‘imagesc’ function of MATLAB or manually set the x axis of the plot using the ‘get(gca, 'XTick')’ and ‘set(gca, 'XTickLabel', newXTickLabels)’. To see how to use the ‘imagesc’ function to set the real time value, refer to the following link: https://in.mathworks.com/matlabcentral/answers/720554-how-to-plot-spectrogram-with-actual-time
A sample example to do the same:
[S, F, T, P] = spectrogram(y,128,120,128,fs,'yaxis')
startTime = 5083; % Start time in seconds
T_adj = T + startTime; % Adjust time vector
% Now plot using the adjusted time vector
imagesc(T_adj, F, 10*log10(P + eps));
axis xy;
xlabel('Time (s)');
ylabel('Frequency (Hz)');
title('Spectrogram');
colorbar;
For more information on the ‘imagesc’ function, refer to the following documentation:
Hope this helps!
