And , uh , I guess it 's sort  you know , after  after that meeting it sort of made more sense to me because  um , if you 're dealing with power spectra then how are you gonna choose your error ? And typically you 'll do  choose something like a variance. And so that means it 'll be something like the square of the power spectra. Whereas when you 're  when you 're doing the  the , uh , um ,  looking at it the other way , you 're gonna be dealing with signals
Mm - hmm.
and you 're gonna end up looking at power  uh , noise power that you 're trying to reduce. And so , eh  so there should be a difference  of  you know , conceptually of  of , uh , a factor of two in the exponent.
Mm - hmm.