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

Author

Krishnamurthy, Vikram ; Logothetis, Andrew

Author_Institution

Dept. of Electr. & Electron. Eng., Melbourne Univ., Parkville, Vic., Australia

Volume

2

fYear

1995

fDate

14-16 Nov 1995

Firstpage

1049

Abstract

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

Keywords

economic cybernetics; error statistics; hidden Markov models; maximum likelihood estimation; signal processing; speech processing; telecommunication channels; EM algorithm; MLE; communication systems; econometrics; errors in variables communication channels; expectation maximization algorithm; finite-state Markovian disturbances; hidden Markov model; maximum-likelihood estimation; neurobiological signal processing; signal processing; speech processing; variables models; Biological system modeling; Biomedical signal processing; Communication channels; Hidden Markov models; Kalman filters; Maximum likelihood estimation; Signal processing; Signal processing algorithms; State estimation; Yttrium;

fLanguage

English

Publisher

ieee

Conference_Titel

Global Telecommunications Conference, 1995. GLOBECOM '95., IEEE

Print_ISBN

0-7803-2509-5

Type

conf

DOI

10.1109/GLOCOM.1995.502565

Filename

502565