Low-delay optimal MAP state estimation in HMM's with application to symbol decoding

@article{Park1997LowdelayOM,
  title={Low-delay optimal MAP state estimation in HMM's with application to symbol decoding},
  author={MoonSeo Park and D. J. Miller},
  journal={IEEE Signal Processing Letters},
  year={1997},
  volume={4},
  pages={289-292}
}
A new algorithm is developed for realizing optimal maximum a posteriori (MAP) estimates of the hidden states associated with a hidden Markov model, given a sequence of observed symbols. The standard MAP algorithm of Bahl et al., requires direct calculation of the a posteriori probabilities using the forward/backward algorithm, with each state estimate based on the entire observation sequence. For decoding applications, this implies huge, practically infinite delay. The new algorithm finds the… CONTINUE READING

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