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

[Cyrille Henry]

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 <puredata at 11h11.com> 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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