Because you end up with this huge feature vector , so that might be a problem , a unless you do some form of dimensionality reduction.
Yeah. I , uh , th what I don't remember is which came out best. So he did one where he put o put e the whole thing into one KLT , and another one , since the  the PLP things are already orthogonalized , he left them alone and  and just did a KLT on the  on the  on the net outputs
Mm - hmm. Mmm.
and then concatenated that. And I don't remember which was better.