• DocumentCode
    659191
  • Title

    On existence of optimal linear encoders over non-field rings for data compression with application to computing

  • Author

    Sheng Huang ; Skoglund, Mikael

  • Author_Institution
    Commun. Theor. Lab., KTH R. Inst. of Technol., Stockholm, Sweden
  • fYear
    2013
  • fDate
    9-13 Sept. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This note proves that, for any finite set of correlated discrete i.i.d. sources, there always exists a sequence of linear encoders over some finite non-field rings which achieves the data compression limit, the Slepian-Wolf region. Based on this, we address a variation of the data compression problem which considers recovering some discrete function of the data. It is demonstrated that linear encoder over non-field ring strictly outperforms its field counterpart for encoding some function in terms of achieving strictly larger achievable region with strictly smaller alphabet size.
  • Keywords
    data compression; linear codes; sequential codes; Slepian-Wolf region; correlated discrete i.i.d. source; data compression; data recovery; nonfield ring; optimal linear sequence encoder; Decoding; Polynomials; Random variables; Source coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Workshop (ITW), 2013 IEEE
  • Conference_Location
    Sevilla
  • Print_ISBN
    978-1-4799-1321-3
  • Type

    conf

  • DOI
    10.1109/ITW.2013.6691314
  • Filename
    6691314