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

IEEE Transactions on Signal Processing（2016）

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摘要

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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关键词

Hidden Markov models,Markov processes,Error probability,Smoothing methods,Maximum likelihood estimation,Signal processing algorithms,Estimation error

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