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rlabbe / filterpy

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.
MIT License
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Correct matrix description in quickstart example #297

Open dhood opened 8 months ago

dhood commented 8 months ago

Thanks for the project! :raised_hands:

'Measurement noise' was mistakenly labelled 'state uncertainty'

kopytjuk commented 7 months ago

Thx, now it fits to the description for the KalmanFilter in https://github.com/rlabbe/filterpy/blob/3b51149ebcff0401ff1e10bf08ffca7b6bbc4a33/docs/kalman/KalmanFilter.rst