Recursive Bayesian estimation: Difference between revisions

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== Model ==
The true state <math>x</math> is assumed to be an unobserved [[Markov process]], and the measurements <math>z</math> are the observed statesobservations of a [[Hidden Markov model]] (HMM). The following picture presents a Bayesian Network of a HMM.
 
[[Image:HMM Kalman Filter Derivation.svg|Hidden Markov model|center]]