[SciPy-Dev] GSoC 2014 : Discrete Wavelets Transform

[Ankit Agrawal]

On Wed, Mar 12, 2014 at 5:27 AM, Skipper Seabold <jsseabold at gmail.com>wrote:

> On Tue, Mar 11, 2014 at 6:22 PM, Ankit Agrawal <aaaagrawal at gmail.com>
> wrote:
> > Hi everyone,
> >
> >          I have created a page on wiki to list the possible tasks that
> can
> > go along with the project idea of integrating `pywt` library in
> scipy.signal
> > and addition of some related algorithms(denoising and compression using
> > wavelets) to scikit-image and scipy.signal. Please feel free to suggest
> or
> > add any other related task. In the coming 2-3 days, I will go through
> some
> > papers and the pywt codebase to come up with better estimates of the
> time in
> > which I can complete those tasks. By the end of coming weekend(16th), I
> hope
> > to have shortlisted the tasks and the timeline for my GSoC proposal.
> Thanks.
> >
>
> Hi Ankit,
>
> I wrote up a blog post on using pywt for doing wavelet regression a
> while back. There are some suggestions at the bottom for things I
> found difficult and could easily be improved like making pywt a little
> more consistently object-oriented to save some keystrokes.
>

Hi Skipper,

         Great blog post. What are your suggestions for some objects that
could be introduced? For instance in your blog post example, you hint of a
wavelet object that holds the coefficient arrays returned from `wavedec`,
so that it could be passed to threshold functions. If I understand your use
case correctly, won't this be a bit less generic in cases where you want
only a subset of coefficient arrays to be thresholded?


> Feel free to use any of this example code as well, if you think it
> could find a home somewhere.
>

The example could find a home in tutorial section. Thanks.

http://jseabold.net/blog/2012/02/23/wavelet-regression-in-python/
>
> Skipper
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