Approximating a Variable Bit Rate Source by Markov Processes
dc.contributor.author | Rananand, N. | en_US |
dc.contributor.department | ISR | en_US |
dc.date.accessioned | 2007-05-23T09:56:58Z | |
dc.date.available | 2007-05-23T09:56:58Z | |
dc.date.issued | 1994 | en_US |
dc.description.abstract | We consider the problem of approximating a variable bit rate (VBR) source by a simple process such that the corresponding buffer-related performance measure are close approximations of the true performance measures. Assuming that a VBR source can be modeled by a discrete-time batch Markovian arrival process (D- BMAP), we propose an approach for approximating it by a ﲭatched Markov process of finite memory obtained by information-theoretic techniques. We confirm analytically that the approximating performance measures become increasingly accurate with the memory of the matched Markov process. When the parameters of the D-BMAP are unknown, we estimate instead the parameters of a suitable Markov approximation from samples of an observed cell stream. We show that the estimated Markov process, with a fixed memory, comes closer with increasing sample size to the D-BMAP, as do the corresponding performance measures, in accordance with the law of iterated logarithm. Numerical examples are presented to illustrate the effectiveness of the approach. | en_US |
dc.format.extent | 532352 bytes | |
dc.format.mimetype | application/pdf | |
dc.identifier.uri | http://hdl.handle.net/1903/5533 | |
dc.language.iso | en_US | en_US |
dc.relation.ispartofseries | ISR; TR 1994-59 | en_US |
dc.subject | variable bit rate | en_US |
dc.subject | matched Markov process | en_US |
dc.subject | divergence | en_US |
dc.subject | law of iterated logarithm | en_US |
dc.subject | cell loss probability | en_US |
dc.subject | average cell delay | en_US |
dc.subject | Intelligent Signal Processing | en_US |
dc.subject | Communications Systems | en_US |
dc.title | Approximating a Variable Bit Rate Source by Markov Processes | en_US |
dc.type | Technical Report | en_US |
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