I find Faust to be very good for short FIR filters. However, for FIR
filters more than ~100 coefficients or so on CPUs, FFT processing is
normally faster, and "low-latency FFT" methods are needed for real-time
usage (I like the paper by Garcia on this). At present, this must be done
in a foreign function that streams its input/output on the sample level,
buffering up for FFTs internally.
Faust's nice handling of short FIR filters can be seen in the following
example:
import("stdfaust.lib");
N = 128;
coeffs = par(i,N,i);
process = fi.fir(coeffs);
Notice how for small N state variables are copied, while for large N
(>16?), you get a circular buffer. Nice!
- Julius
On Wed, Jun 5, 2019 at 9:59 AM Gary Worsham <gary.wors...@gmail.com> wrote:
> All the latest generation guitar processors and plugins include some
> concept of "speaker modeling" and their attendant "impulse responses".
> Which is funny in and of itself because having studied engineering, I
> learned all about impulse responses 35 years ago and only NOW does everyone
> (by which I mean guitar gear nerds) think they are interesting.
>
> A typical speaker IR that people use seem to be in to 50 msec range, so
> already that is thousands of samples.
>
> Couple specific questions:
> a) is there a way to load FIR coefficients from a file?
> b) is Faust good/bad/otherwise in terms of computational efficiency on FIR
> filters?
>
> Thanks,
>
> GW
>
>
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--
Julius O. Smith III <j...@ccrma.stanford.edu>
Professor of Music and, by courtesy, Electrical Engineering
CCRMA, Stanford University
http://ccrma.stanford.edu/~jos/ <http://ccrma.stanford.edu/>
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