for sensors data, depending of the noise, it can be useful to begin with a
median filter.
a median on the 7 last sample add 3 sample delay, but often remove lot's of
noise.
you can find them in mapping or puremapping libs.
cheers
cyrille
Le 14/12/2012 11:38, katja a écrit :
Patrick, the barometer sensor samplerate is ~50 Hz and I did the
butterworth filter with regular Pd objects, not as external (see
attached).
In the Pd patch I modeled sensor noise (resolution 3 Pascal according
to datasheet) and pressure gradient, simulating vertical speed through
the air. The aim is to get 0.1 m/s accuracy in vertical speed reading.
Theoretically, this would be almost possible with the butterworth. But
our real sensor has much more noise than 3 Pascal resolution.
Therefore I'm still interested in better filters.
Katja
On Wed, Dec 12, 2012 at 6:29 PM, patrick <[email protected]> wrote:
hi Katja,
did you ported this filter:
https://github.com/lebipbip/le-BipBip/blob/master/filter.c
to an pd external? if yes could you share it? not sure if it would help my
situation (noisy accelerometer 1 axis), but i would like to give it a shot.
thx
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