Abstract
Streit analysed the classification of an unknown hidden Markov model (HMM) using a set of prescribed HMM’s. He proposed a suboptimal test statistic that can be approximated by certain moments for this classification. In this correspondence, the algorithm given by Streit to derive these moments is reformulated in a matrix algebra setting that gives a better insight into the algorithm. Also, an asymptotic analysis of the algorithm is derived using the reformulation.
Original language | English |
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Pages (from-to) | 2422-2425 |
Number of pages | 4 |
Journal | IEEE Transactions on Signal Processing |
Volume | 43 |
Issue number | 10 |
DOIs | |
Publication status | Published - Dec 1995 |