Estimate Power Spectral Density (PSD)
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Hello! I want to estimate the PSD of a signal from the CWT coefficients. How can I do it? Can you provide me with some algorithm to do this? I have Matlab R2016a installed. Thank you so much!
2 Comments
Manikanta Aditya
on 6 Apr 2024
Hey,
Check this example code, I feel this can help.
% Assuming 'cwtCoeffs' is your matrix of CWT coefficients and 'Fs' is your sampling frequency
% Compute the absolute square of the CWT coefficients
cwtCoeffsSquared = abs(cwtCoeffs).^2;
% Compute the time-averaged power, which gives the scalogram
scalogram = mean(cwtCoeffsSquared, 2);
% Normalize the scalogram to get the relative energy distribution as a function of frequency, which is the PSD
psd = scalogram / sum(scalogram);
% Plot the PSD
frequencies = Fs * (0:(length(psd)/2))/length(psd);
plot(frequencies, 10*log10(psd(1:length(frequencies))));
xlabel('Frequency (Hz)');
ylabel('Power Spectral Density (dB/Hz)');
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