Eleonora Fois

Models, statistics, and rates of binary correlated sources

Martalò Marco;
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.
2016
Inglese
19
70
80
11
http://www.sciencedirect.com/science/article/pii/S1874490716300052
Esperti anonimi
internazionale
scientifica
Correlated sources; Binary sources; Statistical characterization; Entropy rate; Achievable region
no
Martalò, Marco; Raheli, Riccardo
1.1 Articolo in rivista
info:eu-repo/semantics/article
1 Contributo su Rivista::1.1 Articolo in rivista
262
2
reserved
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