I've updated my 1D linear Kalman filter to include an analysis method to
improve the initial noise model, along with a proper help file.
https://github.com/jwmatthys/kalman-pd
Joel
On 02/28/2013 05:05 PM, Charles Z Henry wrote:
Hey Joel
I was very interested to see your implementation. It's drastically
simpler than I thought it would be. Well, you did mention it was
simple :) However, I thought the math was pretty expensive to do and
complex to program.
I like the approach generally--you have parameters for the assumed
noise model and methods to set them (better than trying to build a
monolith that does both the measurement and filtering). Do you have
another patch or abstraction to analyze the sensor data and calculate
those parameters? If so, you should add it to git.
Chuck
On Thu, Feb 28, 2013 at 12:47 PM, Joel Matthys <[email protected]
<mailto:[email protected]>> wrote:
I just completed a very simple 1D Kalman filter Pd external. I
haven't really done any documentation on it, but it seems pretty
robust for cleaning up 1D sensor inputs.
The source is here:
https://github.com/jwmatthys/kalman-pd
Joel
_______________________________________________
[email protected] <mailto:[email protected]> mailing list
UNSUBSCRIBE and account-management ->
http://lists.puredata.info/listinfo/pd-list
_______________________________________________
[email protected] mailing list
UNSUBSCRIBE and account-management ->
http://lists.puredata.info/listinfo/pd-list
