This paper discusses and analyzes various models of binary correlated sources, which may be relevant in several distributed communication scenarios. These models are statistically characterized in terms of joint Probability Mass Function (PMF) and covariance. Closed-form expressions for the joint entropy of the sources are also overviewed. The asymptotic entropy rate for very large number of sources is shown to converge to a common limit for all the considered models. This fact generalizes recent results on the information-theoretic performance limit of communication schemes which exploit the correlation among sources at the receiver.

Models, statistics, and rates of binary correlated sources / Martalo', Marco; Raheli, Riccardo. - In: PHYSICAL COMMUNICATION. - ISSN 1874-4907. - 19:(2016), pp. 70-80. [10.1016/j.phycom.2016.04.002]

Models, statistics, and rates of binary correlated sources

MARTALO', Marco;RAHELI, Riccardo
2016-01-01

Abstract

This paper discusses and analyzes various models of binary correlated sources, which may be relevant in several distributed communication scenarios. These models are statistically characterized in terms of joint Probability Mass Function (PMF) and covariance. Closed-form expressions for the joint entropy of the sources are also overviewed. The asymptotic entropy rate for very large number of sources is shown to converge to a common limit for all the considered models. This fact generalizes recent results on the information-theoretic performance limit of communication schemes which exploit the correlation among sources at the receiver.
Models, statistics, and rates of binary correlated sources / Martalo', Marco; Raheli, Riccardo. - In: PHYSICAL COMMUNICATION. - ISSN 1874-4907. - 19:(2016), pp. 70-80. [10.1016/j.phycom.2016.04.002]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/2815925
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