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Thank you very much for sharing, and I would like to ask how you trained the wavelet transform part to get the weights.Looking forward to hearing from you
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I was doing a similar job recently and encountered the same problem. I would like to ask for your help. I want to input a (b, c, w, h, d) 3D image data. The output after discrete wavelet transform is …
RY-97 updated
1 month ago
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I would like to take this opportunity to ask you if we have any inverse continuous wavelet transform algorithm that allows us to reconstruct the signal with wavelets, such as daubechies. I did a fair…
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Hi,
thank you for providing this toolbox. Is there any future work planned toward allowing 3D stationary wavelet transform? E.g. on an array of shape (batch, channels, height, width, depth) .
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I want to ask how you discovered that using the discrete wavelet transform on planes is good for compression without experimental verification. How should I analyze the real reasons why applying DWT t…
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Hello everyone! In the version of Matlab R2016a I did some work implementing the daubechies wavelet in the continuous wavelet transform, CWT. I need to replicate these results in Python. Searching dif…
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Hi, Is there any future work planned toward allowing 3D DWT transforms? E.g. on an array of shape `(batch, channels, height, width, depth) `.
I'd be very interested in working on this myself if yo…
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HI! Congratulations on your successful submission,I checked your xnet.py and found that there are no wavelets in it, but I found that they are provided in your wavelet2D.py, is your wavelet a pre-proc…
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My use case for wavelets involves analyzing complex baseband signals like chirps and tones.
This crashes the wavelet transform, e.g.
```
yt = cwt(chirp, wave)
┌ Warning: the lowest frequency wav…
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Thank you very much for sharing, I don't know if I didn't study your code carefully enough. I found that you didn't seem to use the wavelet transform before training the hfrm module, it seems to be a …