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Recompute bin edges and binwidth to maintain consistent bin count for all normalized stationary wavelet transform outputs.
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my program is as follows:
```
x, _ = librosa.core.load(dataset_path + "test.wav", sr=16000, mono=True)
x = x[26000:40000]
wa = WaveletAnalysis(sig, dt=0.1)
print(wa.reconstruction…
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Hi! I recently was reading about wavelets, and I noticed that just recently there was a paper ([and corrisponding code](https://github.com/fastlib/fCWT)) on an implementation of the continous wavelet …
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Hi,
I have been trying to reconstruct the details and approximations at all levels with inverse stationary wavelet transform using the code shown here:
https://stackoverflow.com/questions/69434…
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Hi,
I've encountered what i believe to be a bug in a call to `ssqueezepy.ssqueeze` to synchro-squeeze a continous wavelet transform. I'll try to explain the issue as best i can, because i can't se…
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Hi, I was just wondering if there is a built-in implementation to transform the harmonic coefficients of the wavelets back into real space to visualize the wavelets on the sphere as depicted in the Re…
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QFTs are great, but nothing about quantum mechanics is really perfectly linear or sines/cosines is it?
https://arxiv.org/abs/quant-ph/9809004
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In the current initial implementation of the wavelet transform, we interpret the output simply as an array in an `Fn` space, either real or complex. While being simple, this solution has some remarkab…
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Dear All,
I am working on Ph.D research and I would like to implement lifting transform of image using haar or any other using julia but i am not getting code for the same please help me and provid…
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Checking from MODA, bispectral analysis can be implemented straightforward. In its calculation it relies on `wavelet_transform.py`. For two signals `sig1` and `sig2`, the bispectral analysis requires …