[Scilab-users] "Smoothing" very localised discontinuities in curves.

[Claus Futtrup]

Hi Buk

When data goes zig-zag like that, I'm sometimes successful with a 
Bartlett (triangular) smoothing window of only very few points (like 3 
points).

// function [out]=bartlett3p(indata) // for smoothing (when plotting)
     // out = indata;
     // if length(indata)>2 then
         // out(2:$-1) = 0.25*indata(1:$-2) + 0.5*indata(2:$-1) + 
0.25*indata(3:$);
     // end // Bartlett Window = Triangular window
endfunction

Yes, it will affect your data, probably introduce phase shifts.

Best regards,
Claus

On 03-04-2016 21:09, scilab.20.browseruk at xoxy.net wrote:
> HI,
>
> The data I'm dealing with is experimentally produced; and thus contains occasional, localised discontinuities (inflections), that I need to remove before that data is suitable for is use in FEM modeling software, which requires that it be strictly monotonic. The attachment shows the full curve plus a close up of a couple of examples of the type of discontinuity I need to deal with.
>
> I haven't yet decided whether to simply omit points (thus connect A to F & G to J) or whether to retain the same number of points by interpolating new points onto that line as shown in red.
>
> I've looked and played several of the smoothing, convolution and interpolation routines that scilab provides, but (besides that I don't understand the output some of them produce) they also seem to affect the data more than I would like. Some seem to introduce a 'phase shift'; others smooth out larger scale bumps in the curve that need to be retained; and others generate many extra points which I don't think is helpful, the FEM software is going to do its own interpolations anyway.
>
>
> But the bit I'm asking about here is how to detect point A&F and G&J?
>
> Any thoughts or pointers as to a) the algorithm to use; b) how to implement it in SciLab?
>
> Cheers, Buk.
>
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