> Hello Peter. I still come back to the issue of the DeTrend filter in ADAMS. I read your links. Maybe I'm missing something, but my impression is that it's like a math operation – “value := value – mean”, as you described. But when I repeated this mathematical operation as a filter mathematical expression - I got different results. Your Detrend filter provides radically better results for model correlation coefficients. You mentioned that you use this filter to process the spectral data, does your Detrend filter have something extra besides the “value := value – mean”? Maybe some operations with the data spectrum? Can I apply your Detrend to a regular number series but not spectral data?
It is just a simple math's operation. Assuming you are using the
"Mean" detrend plugin, then per row in the dataset the amplitude
values are obtained, the mean from these calculated and then the mean
subtracted from each of the amplitude values. The "Mean" plugin
doesn't change the shape of the row, it merely adjusts the x values by
subtracting the (row) mean.
Today, I've added a new filted called "SimpleDetrend", which makes use
of the same plugins as Detrend. In contrast to Detrend, it does not
require you to have attributes named a certain way, you can simply
define the attribute range that you want to process/update. Just grab
the latest snapshot.
Cheers, Peter
--
Peter Reutemann
Dept. of Computer Science
University of Waikato, Hamilton, NZ
Mobile
+64 22 190 2375
https://www.cs.waikato.ac.nz/~fracpete/
http://www.data-mining.co.nz/