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Hi guys,
Once Issue #4 has been addressed the next part is to compute various statistics from the wavelet decomposition, here are the main ones:
- [x] Classical wavelet variance: this is the cla…
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The adjoint operator of the wavelet transform operator is not correct in all cases. Namely, when using `pywt` wavelets, [we have redundant wavelet transforms](https://pywavelets.readthedocs.io/en/v0.4…
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Some functions on the Shift-Invariant Wavelet Packet Decomposition (SIWPD) have been implemented, but the tree structure and the best basis algorithm are quite different from the usual implementations…
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Hi，
Thank you for your warmly reply. I am a student, and now using your open code to learn the wavelet decomposition. I use function "modwt2(wt, inp)" to deconpose a grid named X and obtain the "wave…
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Hi Timothy.
In reviewing your code I ran into issues using the waveletSmooth function (in the directory subrepos/models/wavelet). I think it might be the difference in our pywt versions, but the func…
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My understanding is that the internal memory structures in OpenJPH use 32-bit values to store image samples and wavelet coefficients. Depending on various factors (color transform, number of decompos…
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color of the picker isn't identical to the color the picker is over
at least paintin…
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Hello!
While working on [this issue](https://neuroimage.usc.edu/forums/t/missing-items-in-process-options-1-f-compensation-multiply-output-values-by-frequency/24452/14) and the [TF tutorial](https:…
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```
Dear Developers
I am Davinder Siwal from Delhi University India
I am trying to use your wavele1d c++ codes for decomposition of my data in
terms of wavelets.
I am trying to run wavedemo1.cpp w…
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```
Dear Developers
I am Davinder Siwal from Delhi University India
I am trying to use your wavele1d c++ codes for decomposition of my data in
terms of wavelets.
I am trying to run wavedemo1.cpp w…