You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
If I understand well, a critical aspect of using the wavelet transform is to i) choose the correct scales, ii) choose appropriate wavelets. I use this page as a reference when doing so: https://pywavelets.readthedocs.io/en/latest/ref/cwt.html . At first, it was a bit confusing. I wonder if it would be possible to:
extend the pywt.scale2frequency function signature by adding a sampling_frequency=1 parameter, so that the user does not need to perform the /dt to get to the real world frequency
also provide a "reciprocal" function, i.e. pywt.frequency2scale(wavelet, list_frequencies, sampling_frequency) that will provide the scales to use directly from the frequencies that the user thinks are useful; this way, the user will not have to go through the hurdle of inverting the pywt.scale2frequency function themselves
If I understand well, a critical aspect of using the wavelet transform is to i) choose the correct scales, ii) choose appropriate wavelets. I use this page as a reference when doing so: https://pywavelets.readthedocs.io/en/latest/ref/cwt.html . At first, it was a bit confusing. I wonder if it would be possible to:
pywt.scale2frequency
function signature by adding asampling_frequency=1
parameter, so that the user does not need to perform the/dt
to get to the real world frequencypywt.frequency2scale(wavelet, list_frequencies, sampling_frequency)
that will provide the scales to use directly from the frequencies that the user thinks are useful; this way, the user will not have to go through the hurdle of inverting thepywt.scale2frequency
function themselvespywt.plot_wavelet(wavelet, scale, sampling_frequency)
, that will plot the wavelet as a function of timeThe text was updated successfully, but these errors were encountered: