On Thu, Mar 27, 2014 at 7:16 PM, Nabil Freij <[email protected]> wrote:
> Hey, > > I've been attempting to create an Empirical Mode Decomposition (EMD) code > and I came across a paper that removed the edge effects by using SVR to > predict the signal and then mirror that signal. > > I've created an IPython Notebook with background and my example code > trying to reproduce the SVR prediction. I've also linked the paper but it > might be behind a paywall, so I can provide the PDF > as needed. > > See: > > > http://nbviewer.ipython.org/urls/raw.githubusercontent.com/nabobalis/pyhht/master/Ipython%20Examples/SVM%20Regression%20Fitting.ipynb?create=1 > > Thanks, > Nabil > > > ------------------------------------------------------------------------------ > > _______________________________________________ > Scikit-learn-general mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > > Hi Nabil, This is very interesting. Can you also show how the SVR prediction fits into the EMD process? I mean, can you show how to go through the entire EMD pipeline while using this method to remove the edge effects? Thanks. -- JD
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