> On Wed, 6 Dec 2023 at 10:43, robert bristow-johnson > <[email protected]> wrote: > > > > ... Let's say that word width isn't a problem (low normalized frequency > > not a problem) ... > > > > Perhaps I'm wrong but it seems clear to me that any discrete-time model of > > an analog process (linear or not, time-invariant or not) will get better > > with higher sample rate. So however good your filter is at 48kHz the model > > (if it's a good model) will be better at 96kHz.
Seems like this is only true for discretization methods like bilinear transform. For MZTi or similar, it is not clear that larger sample rate gives a better result. It seems unhelpful to ignore finite word-length effects in this context, given that the method works exactly by driving all roots down to lower normalized frequencies. E
