Smooth data to get the best approximation.

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Hello everyone, I was wondering if anyone knows how I could process the input data in such a way as to obtain something similar to what I show in smooth data. The points marked in red and blue correspond to the change points when using the ischange tool
cI = ischange(YY,'MaxNumChanges',1);
scatter(XX(cI),YY(cI),'filled')
I include an attached data with the points shown in the graph being XX and YY the input data (the ones I intend to modify) and the XSmooth, YSmooth data the ones I intend to get.
I've tried with the methods include in the smoothdata function but i couldn't get the result i expected
methods = {'movmean','movmedian','gaussian','lowess','loess','rlowess','rloess','sgolay'};

Accepted Answer

hosein Javan
hosein Javan on 12 Aug 2020
I used curve fitting app you can workaround and change settings to get your result.
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More Answers (1)

Bruno Luong
Bruno Luong on 14 Aug 2020
Here is what my ftting tool gives
load('InputData_SmoothData.mat')
pp=BSFK(XX,YY); % FEX file
plot(XX,YY);
plot(XX,ppval(pp,XX),'r');
legend('raw data','BSFK fitting')

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R2020a

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