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Kalman filter: Revision history


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  • curprev 14:3014:30, 21 June 2024Gizacho talk contribs 131,933 bytes +1,258 Added a mention of the Optimized Kalman Filter approach, which allows the user to find the covariance parameters that are optimal for the state estimation (and are *not* necessarily the same as the noise covariance). undo Tag: Visual edit

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  • curprev 19:2619:26, 3 December 202364.99.193.195 talk 129,843 bytes +18 →‎Update: The terminology in the article suggests that x hat (the estimated state) should be used rather than the undecorated x vector. Additionally, using the undecorated x vector implies that the true state (x) is a calculated quantity from the Kalman gain and innovation, which does not make sense (to me at least). undo

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