Hidden Markov model signal processing for errors-in-variables communication channels

TitleHidden Markov model signal processing for errors-in-variables communication channels
Publication TypeConference Paper
Year of Publication1995
AuthorsKrishnamurthy, V., and A. Logothetis
Conference NameGlobal Telecommunications Conference, 1995. GLOBECOM '95., IEEE
Pagination1049 -1053 vol.2
Date Publishednov.
Keywordscommunication systems, econometrics, economic cybernetics, EM algorithm, error statistics, errors in variables communication channels, expectation maximization algorithm, finite-state Markovian disturbances, hidden Markov model, hidden Markov models, maximum likelihood estimation, maximum-likelihood estimation, MLE, neurobiological signal processing, signal processing, speech processing, telecommunication channels, variables models

We propose maximum-likelihood (ML) estimation of errors in variables models with finite-state Markovian disturbances. Such models have applications in Econometrics, speech processing, communication systems and neurobiological signal processing. We derive the maximum likelihood (ML) model estimates using the expectation maximization (EM) algorithm


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