fastlib

The python interface does expose that option! Look at the 'advanced use' section in the Jupyter notebook.

Not yet, will add it to the list. Are there more people that need this feature?

I see there is great interest in a fast inverse CWT. In #36, I mentioned the difficulties with implementing an inverse CWT, however I will put it on my list...

I've been tinkering a bit to see whether an inverse fCWT was possible and it is actually very easy! I'm still planning to implement this in the next version, but...

An inverse CWT is often not implemented by libaries (the popular Python library Pywavelets for example, does not implement an inverse CWT, only the inverse DWT which is basically just...

More wavelets (like DOG, Paul, and Morse) will be released in the next major update. Accordingly, this version will have a more flexible approach to frequency and scale conversion. As...

@Arpit-1996, is your question/issue answered/solved? If yes, than this issue can be closed.

It is not possible to answer your question without more information. Can you specify model architecture, STFT and fCWT parameters, datasets, frequency range, performances, statistical significance of these tests, etc.

Thank you for the information. Can you post time-frequency plots of both techniques on a small segment of EEG data? Additionally, what are the performances and what is their statistical...

Alright, we do see more detail in the fCWT analysis, which is what you would expect. My best guess, is that the difference in classification is because your CNN model...