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Explicit State-Estimation Error Calculations for Flag Hidden Markov Models.

Kyle Doty,Sandip Roy,Thomas R. Fischer

IEEE Transactions on Signal Processing（2016）

Cited 8|Views24
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Abstract
State estimation is studied for a special class of flag Hidden Markov Models (HMMs), which comprise 1) an arbitrary finite-state underlying Markov chain and 2) a structured observation process wherein a subset of states emit distinct flags with some probability while other states are unmeasured. For flag HMMs, an explicit computation of the probability of error for the maximum-likelihood filter an...
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Key words
Hidden Markov models,Markov processes,Error probability,Smoothing methods,Maximum likelihood estimation,Signal processing algorithms,Estimation error
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