8000 ENH [low priority] option to drop low-pass filters · Issue #445 · kymatio/kymatio · GitHub
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ENH [low priority] option to drop low-pass filters #445

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eickenberg opened this issue Oct 24, 2019 · 6 comments
Open

ENH [low priority] option to drop low-pass filters #445

eickenberg opened this issue Oct 24, 2019 · 6 comments

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@eickenberg
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I am finding myself in a situation where I need access to the non-lowpass-filtered wavelet moduli.

I realize there is a potential space issue, but it might be not only me wanting access to these.

Going to just convolve the filters myself for the moment, but I might make a PR in the future

@lostanlen
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This will cause a huge increase in memory footprint, and might break compatibility if whatever downstream application assumes that all coefficients have the same resolution. Unless you want to oversample?

@eickenberg
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eickenberg commented Oct 30, 2019 via email

@lostanle
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Since this codebase is primarily useful for research purposes, in general I
think it would be nice to be able to tinker with the inner states of the
system easily.

Yes, this is what prompted me to make scattering.m after scatnet v0.2. It is easier to inspect the inner state of the transform in scattering.m. But the memory footprint is terrible. It's a tradeoff.

@janden
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janden commented Nov 1, 2019

In terms of sampling, it could simply be a matter of disallowing vectorize when we don't have averaging. In fact, I think this is already done in 1D.

@MuawizChaudhary
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Does this dictionary stuff we discussed allow this?

@lostanlen
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@MuawizChaudhary yes, this is the long-term goal of the dictionary output

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