A non-mathematical introduction to Kalman filters for programmers
Do I understand it correctly that Kalman filters are supposed to give a better estimate of a value from noisy observations than just averaging the observations?<p>Say I measured something 3 times and observed 7,8 and 9. My guess would be that the actual value is 8. Would a Kalman filter come up with a different estimate?