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Kalman Filter Lecture Notes by sadiksnm is a document available to read on EtoBox.

What is Kalman Filter Lecture Notes about?

1. The Kalman filter allows estimating the state vector and its distribution over time using a two step process: prediction and update. 2. The prediction step uses the prior state estimate to compute the predicted state and its distribution. 3. The update step combines the prediction with new measurements to refine the state estimate and its distribution.

Author

sadiksnm

Language

EN