I have some time vs. voltage data that I would like to normalize, but there are some voltage outliers. The outlier peaks are meaningful and I do not want to remove them. Is there any way to normalize the data without influence from the outliers in the calculation? I want the "steady state" in my data to be around 0, and I still want to determine the Z score of those voltage peaks based on the normalization of data around the steady state.
The way I'm doing it now is gathering another set of data without the peaks, finding the mean and SD, and then manually using that to normalize the data with the peaks. It works but it is not very elegant. Is there a better way?
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