Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6889437 | Physical Communication | 2016 | 11 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Networks and Communications
Authors
Marco Martalò, Riccardo Raheli,