On filtering of Markov chains in strong noise

Mathematics – Probability

Scientific paper

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correction of typos. to appear in IEEE Trans. Inf. Theory

Scientific paper

The filtering problem for finite state Markov chains is revisited, when the
intensity of the observation noise increases. We give a description of
conditional measure concentration around the invariant distribution of the
signal and derive asymptotic expressions for the performance indices of the
MMSE and MAP filtering estimates.

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