Title :
The most informative stopping times for Viterbi algorithm: sequential properties
Author :
Kogan, Joseph A.
Author_Institution :
Courant Inst. of Math. Sci., New York Univ., NY, USA
Abstract :
Sequential properties of the Viterbi algorithm are studied based on a renewal sequence of the most informative stopping times which can be explicitly found during the Viterbi recognition of the most likeliest hidden Markovian state-sequence
Keywords :
dynamic programming; estimation theory; hidden Markov models; maximum likelihood estimation; Viterbi algorithm; dynamic programming; hidden Markovian state-sequence; most informative stopping times; renewal sequence; sequential properties; Hidden Markov models; Information analysis; Sequential analysis; Viterbi algorithm;
Conference_Titel :
Information Theory and Statistics, 1994. Proceedings., 1994 IEEE-IMS Workshop on
Conference_Location :
Alexandria, VA
Print_ISBN :
0-7803-2761-6
DOI :
10.1109/WITS.1994.513916
