> > I'm wanting to model a real world system using an FIR filter. I have
> > samples of the input and the expected output. How does one find the
> > filter coefficients from these? I've been using particle swarm
> > optimization, but it's very approximate. It's not getting as close as
> > I want it to so I'm looking to try something new. I'm sure there are
> > more exact techniques out there. I was told by a friend there is an
> > iterative technique using an auto-correlation matrix that might do
> > what I want, but we were talking fast and I didn't follow all that he
> > was saying. I did some quick searching and didn't find much. Can
> > anyone point me in the right direction? Thanks for the help.

> isn't this what LMS adaptive filtering is about?  system
> identification?