Could be. I don't know.
And  and th the third thing , um , uh , is , um , Barry explained LDA filtering to me yesterday. And so , um , Mike Shire in his thesis um ,  did a  a series of experiments , um , training LDA filters in d on different conditions. And you were interested in having me repeat this for  for this mean subtraction approach ? Is  is that right ? Or for these long analysis windows , I guess , is the right way to put it.
I guess , the  the  the issue I was  the general issue I was bringing up was that if you 're  have a moving   moving window , uh , a wa a  a set of weights times things that , uh , move along , shift along in time , that you have in fact a linear time invariant filter. And you just happened to have picked a particular one by setting all the weights to be equal. And so the issue is what are some other filters that you could use , uh , in that sense of " filter " ?
Mm - hmm.