I've got a little issue understanding wavelet analysis. I report a code from Matlab tutorial figure;
s0 = 6*dt; ds = 0.15; NbSc = 50;
wname = 'morl';
SCA = {s0,ds,NbSc};
cwtsig = cwtft({Y,dt},'scales',SCA,'wavelet',wname);
MorletFourierFactor = 4*pi/(6+sqrt(2+6^2));
Scales = cwtsig.scales.*MorletFourierFactor;
Freq = 1./Scales;
imagesc(t,[],abs(cwtsig.cfs));
indices = get(gca,'ytick');
set(gca,'yticklabel',Freq(indices));
xlabel('Time'); ylabel('Hz');
title('Time-Frequency Analysis with CWT');
I know that the Morlet Fourier Factor it's a key parameter for the anaylsis. We know that for each scale (or frequency) the wavelet can change shape becoming narrower or broader as well. Can I derive the time and frequency resolution knowing ,the Morlet Fourier Factor, at each frequencies step? thank you
