• DocumentCode
    3850665
  • Title

    Distributed Rate-Distortion With Common Components

  • Author

    Aaron B. Wagner;Benjamin G. Kelly;Yücel Altug

  • Author_Institution
    School of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA
  • Volume
    57
  • Issue
    7
  • fYear
    2011
  • Firstpage
    4035
  • Lastpage
    4057
  • Abstract
    We describe a scheme for rate-distortion with distributed encoding in which the sources to be compressed contain a common component. We show that this scheme is optimal in some situations and that it strictly improves upon existing schemes, which do not make full use of common components. This establishes that independent quantization followed by independent binning is not optimal for the two-encoder problem with a distortion constraint on one source. We also show that independent quantization and binning is suboptimal for the three-encoder problem in which the goal is to reproduce one of the sources losslessly. This provides a counterexample that is fundamentally different from one provided earlier by Körner and Marton. The proofs rely on the binary analogue of the entropy power inequality and the existence of a rate loss for the binary symmetric Wyner-Ziv problem.
  • Keywords
    "Decoding","Rate-distortion","Random variables","Quantization","Encoding","Entropy","Markov processes"
  • Journal_Title
    IEEE Transactions on Information Theory
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2011.2145570
  • Filename
    5895101