Abstract
The simultaneous estimation of the state sequence of a discrete-time finite-state Markov chain and the unknown probabilities governing the Markov chain is considered. The availability of discrete observations made in the presence of memoryless noise is assumed. A decision-directed estimator based on the Viterbi algorithm using the true Markov chain probabilities is described.
Original language | English (US) |
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Pages (from-to) | 2278-2279 |
Number of pages | 2 |
Journal | Proceedings of the IEEE Conference on Decision and Control |
DOIs | |
State | Published - Jan 1 1987 |
Externally published | Yes |
ASJC Scopus subject areas
- Control and Systems Engineering
- Modeling and Simulation
- Control and Optimization