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I have short segments of a biological signal interpolated at 10 Hz (anywhre from about 8.5 sec to 10 sec length). I want to use a cwt to then convert this segment to frequency over the short time frame. I believe need to window the time function and remove the average to make the average value zero, and then pad with zeroes to obtain 128 data points. The frequency range I am interested in would be above about 0.3 Hz to .45 Hz

My question relates to the time domain signal --- windowing, remove the zero frequency and padding the data and in what order, prior to using the CWT. Thank you very much. I am working in MATLAB

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  • $\begingroup$ you have samples, i.e. discrete time; why do you want to use the continuous wavelet transform? In fact, if you want to go to frequency domain, why wavelets at all – the transform that links time domain and frequency domain is the Fourier transform. $\endgroup$ Mar 22, 2023 at 11:58
  • $\begingroup$ @MarcusMüller Sorry, this comment is nonsense. $\endgroup$ Mar 22, 2023 at 12:21
  • $\begingroup$ @OverLordGoldDragon how so? $\endgroup$ Mar 22, 2023 at 13:12
  • $\begingroup$ This topic has been covered extensively on DSP.SE, mainly by me, a little by others. Two posts focus exclusively on it. As consistent with history, it appears you've been intentionally ignoring my writing. Ignorance is a fair choice, but not going around suggesting to others they're doing something wrong, especially if they're newbies, when you have no idea what you're talking about. This isn't the first time. @MarcusMüller $\endgroup$ Mar 22, 2023 at 13:41
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    $\begingroup$ @OverLordGoldDragon you have a meta post where you say conflict in a post could have been avoided. Yet you're very aggressive to me here; I'm not sure what to make of it. I'm not ignoring your writing. You claim what I say makes no sense, I ask you why, and I get attacked. That's not good faith behaviour, sorry. $\endgroup$ Mar 22, 2023 at 13:47

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