Remove noise from time series data

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Cakil
Cakil el 22 de Jun. de 2022
Comentada: Star Strider el 22 de Jun. de 2022
Hello Matlab community,
I have a time series data from different levels with 30 min interval. I tried to use the medfilt1 to remove outliers and worked at some level.
data2=medfilt1(data1,3)
Here is the plot of data1:
And here is the plot of data2:
However what I want to remove is the red crossed parts of the each level. I marked the purple data as an example. I do not want to make a perfectly smooth data but only to remove fluctuations exist at some points.
I wanted to apply 3 sigma method as an option and integrated the code of Adam Danz' code as below but I should have done something missing.
m = mean(data2);
sd = std(data2);
outliers = false(size(data2));
outliers(data2 < m-sd*3) = true;
outliers(data2 > m+sd*3) = true;
figure
t = 1:length(data2);
plot(t, data2, 'b.')
hold on
plot(t(outliers), d(outliers), 'ro')
rh = refline(0,m);
set(rh, 'color', 'm')
rh2 = refline(0,m+sd*3);
rh3 = refline(0,m-sd*3);
set([rh2,rh3], 'color', 'm', 'linestyle', '--')
legend('data', 'outliers', 'mean', '3rd sd')
All I want to do is to filter the fluctiations for each level but I really get confused about what I am doing.
I will glad to hear your suggestions.
Best,
Ezgi

Respuesta aceptada

Star Strider
Star Strider el 22 de Jun. de 2022
The sgolayfilt function might be a better option.
Try something like this —
FrameLen = 201;
DataFilt = sgolayfilt(data1, 3, FrameLen);
figure
plot(t, DataFilt)
grid
Experiment with various values of ‘FrameLen’ to get the result you want.
.
  4 comentarios
Cakil
Cakil el 22 de Jun. de 2022
Thank you for your support, it was very helpful.
Star Strider
Star Strider el 22 de Jun. de 2022
As always, my pleasure!

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