Remove a part of data and replace it with data to fit trend

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VISHNURAJ SREERAJ NAIR 2022-1-9

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评论： Hiro Yoshino 2022-1-11

Hello, can some one please help me with the removal of data in the photo. I tried all the outlier removals, smooth data and conventional funtions, but it is unable to detect.

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KSSV 2022-1-10

You have to attach your data.

VISHNURAJ SREERAJ NAIR 2022-1-10

Apologies, I have attached now.

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Answer 1

Hiro Yoshino 2022-1-10

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https://ww2.mathworks.cn/matlabcentral/answers/1625630-remove-a-part-of-data-and-replace-it-with-data-to-fit-trend#answer_871740

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Try this. It removes the dent you see in the plot. Please note this also affect the both edges of the profile.

[cleanedData,outlierIndices,thresholdLow,thresholdHigh] = filloutliers(slip1,...
    "linear","movmean",29000,"ThresholdFactor",1,"SamplePoints",T1);

It would also be a good idea to detrend first and then find the outliers by using isoutlier.

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Hiro Yoshino 2022-1-11

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I found a better solution.

decompose the profile into long-term, short-term and roughness profiles.
detect outliers in roughness and replace them with other values (linear interpolation in this case)
re-compose the new roughness back to the long and short profiles together

Here's the code:

[LT, ST, R] = trenddecomp(slip1);
plot(T1,LT,T1,ST,T1,R);
[Rnew,outlierIndices,thresholdLow,thresholdHigh] = filloutliers(R,...
    "linear","quartiles","SamplePoints",T1);
slip1New = Rnew + LT + ST;
plot(T1,spring1,T1,slip1New);