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Estimating Markov Model Parameters from Statistical Analysis of Speech Packets Transmitted over BWA Networks

Sheluhin, O and Atayero, A. A. and Alatishe, A. S. and Iruemi, J. O. (2012) Estimating Markov Model Parameters from Statistical Analysis of Speech Packets Transmitted over BWA Networks. Innovative Systems Design and Engineering, 3 (6). pp. 109-122. ISSN 2222-1727

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Abstract

The main problem encountered in the design of Markov models is in choosing the adequate mathematical model for their representation. Analysis of the mathematical models of speech packet sources was conducted on the basis of Markov chains. The specific characteristics of telephony dialogue and monologue were taken into consideration. These in their turn can be used in the design of methods of statistical companding of packet communication nodes. In this paper we show that the choice of the number of states of the Markov chain as well as their probabilistic characteristics can be estimated from the results of the statistical processing of speech packets transmitted over Broadband Wireless Access Networks (BWAN).

Item Type: Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Mr Adewole Adewumi
Date Deposited: 11 Dec 2012 23:36
Last Modified: 11 Dec 2012 23:36
URI: http://eprints.covenantuniversity.edu.ng/id/eprint/883

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