Sir, Can you make a video on discrete stock well transform ,its bit confusing if the analysis is performed in frequency domain only not in time domain.
@mikexcohen12 ай бұрын
Hi er. I don't have a video on the Stockwell transform per se, but it is really similar to Morlet wavelet convolution, and I have lots of videos on that. If you understand Morlet wavelets, it's just a tiny step from there to Stockwell. Hope that helps!
@andrewaronson33644 жыл бұрын
so basically you are whitening, or linearizing the frequency response, correct?
@nunezkant4 жыл бұрын
Dear Professor Cohen, what happens when we want to analyze a wide band of spectrum (1-600 Hz) but we don't have a basal to correct the 1/f noise ?
@mikexcohen14 жыл бұрын
You don't necessarily *need* to normalize for the 1/f. You can compare two spectra, or qualitatively inspect the spectrum (e.g., looking for peaks).
@seongmisong79422 жыл бұрын
Thank you very much for well organized information. Is it also okay to consider baseline while calculatuing PSD? In addition, how to handle offset difference in PSD within subject with different conditions?
@mikexcohen12 жыл бұрын
Yes, you can still normalize by a baseline, as percent change or dB for example. Any normalization will help with individual differences. Even without a baseline, you can divide the spectrum by the average power (across the spectrum), which will normalize for raw power values.