Gregory Lee

Another incentive to get this repo up would be to enable a GPU-based `denoise_wavelet` from the scikit-image API for [cuCIM](https://github.com/rapidsai/cucim)

Note: This PR is a follow-up to the following mailing list thread: https://groups.google.com/d/msg/pywavelets/ylPRn0B9DRE/um4Qlt5kCwAJ > 1. can we get a trim_approx=FALSE argument in wavedec that can switch to deliver [(cAn, cDn),...

> 2. a long the same line: can we envisaged to get a "user-defined" output for instance only [cAn,..., cA2, cA1] ie. the approximation low-freq coeff.? I'm not sure exactly...

I think the implementation in @aaren's repo follows the description in the paper by Torrence and Compo. There is a link to the text [here](http://paos.colorado.edu/research/wavelets/). See the section title "Reconstruction"....

Thanks for reporting this. Was this vs. the 1.0.1 release? I don't expect current master will be different, but maybe worth trying. It looks like all of these failures are...

The other thing that stands out from those failures is that they appear to occur only for the complex-valued continuous wavelets. None of the real-valued ones show up in that...

We have some functionality of this type in `scikit-image` which is using PyWavelets under the hood. Specifically, [denoise_wavelet](http://scikit-image.org/docs/0.14.x/api/skimage.restoration.html#skimage.restoration.denoise_wavelet) performs denoising using either the universal threshold (VisuShrink) or the BayesShrink method....

The above response is not intended to discourage you if you are interested in contributing functionality along these lines. I think it would be great to have additional options either...

Thanks for reporting the issue. Can you perhaps share a bit more about the solution you propose? If you make a pull request (or point me to a branch where...

Thanks @tkuraku, it seems reasonable to provide this function. Can you document it in https://github.com/PyWavelets/pywt/blob/master/doc/source/ref/cwt.rst as well?