From: glen herrmannsfeldt on
Tim Wescott <tim(a)seemywebsite.com> wrote:
(snip)

> Getting back to your real problem: "The device seems to throw off random
> noise values with a fair degree of frequency". One likes one's noise to
> have a Gaussian distribution. If you're finding outliers by comparing
> data against standard deviation (and if you're doing it honestly) then
> your noise is non-Gaussian -- and one of the assumptions behind a
> standard Kalman filter is Gaussian noise, so the first thing you'd have
> to do to get a really good filter in your case would be to re-tool the
> Kalman filter math to accommodate the non-Gaussian noise!

Well, standard deviation is 68% of the area, so 32% of the points
should be outside of one standard deviation.

-- glen