• DocumentCode
    2517637
  • Title

    Approximating the Gaussian multiple description rate region under symmetric distortion constraints

  • Author

    Tian, Chao ; Mohajer, Soheil ; Diggavi, Suhas

  • Author_Institution
    AT&T Labs.-Res., Florham Park, NJ
  • fYear
    2008
  • fDate
    6-11 July 2008
  • Firstpage
    1413
  • Lastpage
    1417
  • Abstract
    We consider multiple description coding for the Gaussian source with K descriptions under the symmetric mean squared error distortion constraints. Inner and outer bounds for the achievable rate region are derived and carefully tailored, such that they can be compared conveniently. The inner bound is based on a generalization of the multilayer scheme previously proposed by Puri et al., through a more flexible binning method. The resulting achievable region has the same geometric structure as the rate region of the lossless multilevel diversity coding problem, which reveals a strong connection between them. The outer bound is derived by combining the bounding technique for the sum rate in our earlier work, together with the alpha-resolution method introduced by Yeung and Zhang. Comparison between the inner and outer bounds shows that the gap in between is upper bounded by some constants. Particularly for the three description problem, the bounds can be written explicitly, and both the inner and outer bounds can be represented by ten planes with matching normal directions, between which the pairwise difference is small.
  • Keywords
    Gaussian channels; diversity reception; encoding; mean square error methods; Gaussian multiple description rate; Gaussian source; binning method; geometric structure; mean squared error distortion; multilevel diversity coding; multiple description coding; symmetric distortion constraints; upper bounded; Chaos; Diversity reception; Guidelines; Nonhomogeneous media; Propagation losses; Random variables; Rate distortion theory; Rate-distortion; Source coding; Yarn;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2008. ISIT 2008. IEEE International Symposium on
  • Conference_Location
    Toronto, ON
  • Print_ISBN
    978-1-4244-2256-2
  • Electronic_ISBN
    978-1-4244-2257-9
  • Type

    conf

  • DOI
    10.1109/ISIT.2008.4595220
  • Filename
    4595220