- Yes, that is what we would expect. A factor that can affect this is the stopband attenuation of the filter in question. The larger the attenuation, the brighter the required spots will be.
- A signal sampled at a specific frequency or sample rate will sample all frequency components as per Nyquist’s theorem. After filtering, the contribution of each component beyond the cutoff reduces but is not eliminated. If this information is irrelevant, decimate the sequence to the a suitable sample rate. The FFT length is related to original sequence length, so this should serve as an effective workaround.
- If you want a plot similar to the CWT plot, you can store the difference in a variable and plot it using imagesc. If you want a linear plot, you will have a line for each frequency-domain sample point. You can plot each row of the difference individually for clarity.
Continuos Wavelet Transform representation
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Lorenzo Bernardini
il 5 Dic 2019
Commentato: Lorenzo Bernardini
il 16 Gen 2020
Hello there,
I've a couple of questions about the use of the CWT MATLAB function (cwt(,)) applied to a real time signal x. The questions are as follows:
1) If I'm filtering a signal (x) with a cut off frequency supposed to be equal to 5 Hz, by plotting cwt(x) I should see bright spots (high magntude) just for frequency lower than 5Hz rigth?
2) How can I reduce the frequency range on the ylabel? I mean, once I input the signal and the sampling frequency of the signal, a certain range of frequencies is automatically given on ylabel. Can I modify it? How? For example, in case of point 1) I have a signal that, once filtered, has significant component around 5Hz, therefore I'm not interested in information up to 200 Hz.
3) In the case I would like to plot the difference between the cw coefficients obtained from to signals, resepctively x1 and x2, how can I do? Which is the best way to do it? I know how to compute the coefficients and plot the two distinct cases but I don't know how to plot the module of the coefficient difference. Which is the function I should use?
Thank you very much in advance.
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Kaashyap Pappu
il 24 Dic 2019
Hope this helps!
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