Derivation of Burst Statistics for Hidden Markov Channel Models<br />DOI: 10.14209/jcis.1997.12
Abstract
In this paper we present an enumerative method to derive analytic expressions for burst error statistics of hidden Markov channel (HMC) models with an arbitrary number of states. It is demonstrated that the error weight distribution can be analytically described from the distributions of intervals between errors. The study of the statistical description of the error process has immediate applications in the modeling of real channels, and in the designi of coding schemes for channels with memory.Downloads
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Published
2015-06-16
How to Cite
Pimentel, C. (2015). Derivation of Burst Statistics for Hidden Markov Channel Models<br />DOI: 10.14209/jcis.1997.12. Journal of Communication and Information Systems, 12(2). Retrieved from https://jcis.sbrt.org.br/jcis/article/view/210
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Received 2015-06-16
Accepted 2015-06-16
Published 2015-06-16
Accepted 2015-06-16
Published 2015-06-16
