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Binary Rate Distortion With Side Information: The Asymmetric Correlation Channel Case (1510.07517v1)

Published 26 Oct 2015 in cs.IT and math.IT

Abstract: Advancing over up-to-date information theoretic results that assume symmetric correlation models, in this work we consider the problem of lossy binary source coding with side information, where the correlation is expressed by a generic binary asymmetric channel. Specifically, we present an in-depth analysis of rate distortion with side information available to both the encoder and decoder (conventional predictive), as well as the Wyner-Ziv problem for this particular setup. Prompted by our recent results for the Z-channel correlation case, we evaluate the rate loss between the Wyner-Ziv and the conventional predictive coding, as a function of the parameters of the binary asymmetric correlation channel.

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Authors (4)
  1. Andrei Sechelea (1 paper)
  2. Samuel Cheng (18 papers)
  3. Adrian Munteanu (16 papers)
  4. Nikos Deligiannis (54 papers)
Citations (3)

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