removing spikes from test data.

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hao liu
hao liu 2018 年 9 月 19 日
コメント済み: Muhammad Waqar 2020 年 9 月 16 日
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:)
  2 件のコメント
Greg Dionne
Greg Dionne 2018 年 9 月 24 日
Would you be willing to post your data?
Sher Akbar
Sher Akbar 2019 年 12 月 30 日
search literature for this purpose... basically we dont remove spikes we do replace them with the normal values.


回答 (2 件)

Star Strider
Star Strider 2018 年 9 月 19 日
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.

Arihant Sureka
Arihant Sureka 2018 年 9 月 19 日
Maybe you can refer to this link:
< Data Smooth>
  1 件のコメント
Muhammad Waqar
Muhammad Waqar 2020 年 9 月 16 日
Smooth is not recommended. It is because Smooth function will also damage the physical features of the signal.



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