The classical state estimators explained simply: how a Kalman filter tracks a hidden state through noise by predicting and correcting, when you need the extended and unscented variants, and how particle filters handle the nonlinear, non-Gaussian cases they can’t.
Read it
The monograph lives at its own URL in the warm-paper layout, with figures and worked examples in plain words.
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