[PD] is there a kalman filter for pd? (if not I could probably provide one, if I make it :) )

katja katjavetter at gmail.com
Wed Dec 12 11:55:28 CET 2012

Pedro, if you make the Kalman filter for Pd, I will try it for
filtering barometer sensor data. I already tried an alpha-beta filter,
but it produced overshoot and ring. A butterworth filter with
coefficients taken from an open source variometer project performed
better (but still not good enough):



On Wed, Dec 12, 2012 at 4:37 AM, patrick <puredata at 11h11.com> wrote:
> hi,
> i was trying to implement this filter in an avr, but i guess it would be
> even better in pd. i just need to clean a noisy accelerometer (only 1 axis),
> but then i read that for 1 input you can use a low pass (in comments):
> http://interactive-matter.eu/blog/2009/12/18/filtering-sensor-data-with-a-kalman-filter/
> as for now, i am using an iir filter in pd (from mapping). works great, but
> would like to "benchmark" the kalman implementation compared to low pass,
> iir.
> anyone have a gem patch to plot mutiple inputs?
> à+
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