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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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I've been assuming the wavelet length is n_cycles/freq. it's not (https://mne.discourse.group/t/help-understanding-tfr-n-cycles/7257)
would be good to hard code this in somewhere so people know ho…
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I recently stumbled upon a bothering fact when using the `pywt`. When we use the default `"symmetric"` padding, the inverse wavelet transform is not the adjoint of the wavelet transform (and it's not …
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I've been using the DWT and it seems like a great tool but I've repeatedly come across this issue where there seems to be floating point error at around 1e-16 rather than at the smallest value that np…
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A user on the mailing list asked why Haar and Daubechies wavelets are not allowed for `cwt`. In Matlab R2012b, the `cwt` does allow using 'haar', 'db4', etc as the wavelet name. However, in R2016b M…
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In many cases where human eye can clearly see difference in spike shapes, after PCA they all get projected into a single blob that cannot be separated by clustering. Wavelet transform has been shown t…
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Hi
I just discovered your focus-stacking code and the quality of the alignment/stacking looks really good. But I do have issues on my machine (Linux). It seems that it can easily run out of memory …
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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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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 all,
Some discussions on implementing the dual-tree complex wavelet transform in PyWavelets occurred in #58 , but let me restate some things:
The dual-tree complex wavelet transform is descri…