• DocumentCode
    588286
  • Title

    A new achievable region for Gaussian multiple descriptions based on subset typicality

  • Author

    Viswanatha, Kumar ; Akyol, Emrah ; Rose, Kenneth

  • Author_Institution
    ECE Dept., Univ. of California - Santa Barbara, Santa Barbara, CA, USA
  • fYear
    2012
  • fDate
    3-7 Sept. 2012
  • Firstpage
    45
  • Lastpage
    49
  • Abstract
    This paper addresses the L-channel multiple descriptions problem for a Gaussian source under mean squared error (MSE) distortion metric. We focus on particular cross-sections of the general rate-distortion region where a subset the 2L - 1 distortion constraints are not imposed. Specifically, we assume that certain descriptions are never received simultaneously at the decoder and thereby the transmitted codewords require joint typicality only within prescribed subsets. We derive a new encoding scheme and an associated rate-distortion region wherein joint typicality of codewords only within the prescribed subsets is maintained. We show that enforcing joint typicality of all the codewords entails strict suboptimality in the achievable rate-distortion region. Specifically, we consider a 3 descriptions scenario wherein descriptions 1 and 3 are never received simultaneously at the decoder and show that a strictly larger achievable region is obtained when the encoder maintains joint typicality of codewords only within the required subsets. To prove these results, we derive a lemma called the `subset typicality lemma´ which plays a critical role in establishing the new achievable region.
  • Keywords
    Gaussian processes; decoding; encoding; mean square error methods; rate distortion theory; Gaussian multiple description; Gaussian source; L-channel multiple descriptions problem; decoder; encoding scheme; general rate-distortion region; mean squared error distortion metric; subset typicality lemma; Covariance matrix; Decoding; Encoding; Joints; Random variables; Rate-distortion; Gaussian multiple descriptions under MSE; L-channel multiple descriptions; Subset typicality lemma;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Workshop (ITW), 2012 IEEE
  • Conference_Location
    Lausanne
  • Print_ISBN
    978-1-4673-0224-1
  • Electronic_ISBN
    978-1-4673-0222-7
  • Type

    conf

  • DOI
    10.1109/ITW.2012.6404715
  • Filename
    6404715