removing spikes from test data.

I was trying to remove the spikes from the test data. I used the medfilt1 method like below: Data_B = medfilt1(Data,7); the left is original data, the right is after process. but it did not work very well. other method like filloutliers also has been tried. I also tried to use the medfilt1 twice, but it's still nearly the same. what I want is to figure out the trend of the test data, the processed data has already showed the trending but there were still some spikes in the figure which is annoying. how should I do to remove the spikes? thanks in advance:)

[Greg Dionne]

Would you be willing to post your data?

[Sher Akbar]

search literature for this purpose... basically we dont remove spikes we do replace them with the normal values.

Answer 1

[Star Strider]

If you have the newly-released R2018b, see if the rmoutliers (link) function will do what you want.

If you have R2017a or later, experiment with the isoutlier (link) and filloutliers (link) functions to determine if they will do what you want.

Answer 2

[Arihant Sureka]

Hi

Maybe you can refer to this link:

 <https://in.mathworks.com/help/curvefit/smooth.html Data Smooth>

[Muhammad Waqar]

Smooth is not recommended. It is because Smooth function will also damage the physical features of the signal.