• DocumentCode
    51644
  • Title

    The Porosity of Additive Noise Channels

  • Author

    Misra, Vishal ; Weissman, Tsachy

  • Author_Institution
    Dept. of Electr. Eng., Stanford Univ., Stanford, CA, USA
  • Volume
    60
  • Issue
    6
  • fYear
    2014
  • fDate
    Jun-14
  • Firstpage
    3144
  • Lastpage
    3162
  • Abstract
    Consider a binary modulo-additive noise channel with noiseless feedback. When the noise is a stationary and ergodic process Z, the capacity is 1- H(Z) (H(·) denoting the entropy rate). It is shown analogously that when the noise is a deterministic sequence z, the capacity under finite-state encoding and decoding is 1 - ρ̅(z), where ρ̅(·) is Lempel and Ziv´s finite-state compressibility. This quantity, termed the porosity σ(·) of the channel, holds as the fundamental limit to communication - even when the encoder is designed with knowledge of the noise sequence. A sequence of schemes are presented that universally achieve porosity for any noise sequence. These results, both converse and achievability, may be interpreted as a channel-coding counterpart to Ziv and Lempel´s work in universal source coding, and also as an extension to existing work on communicating across modulo-additive channels with an individual noise sequence. In addition, a potentially more practical architecture is suggested that draws a connection with finite-state predictability, as introduced by Feder, Gutman, and Merhav.
  • Keywords
    AWGN channels; channel coding; data compression; decoding; entropy codes; porosity; Feder; Gutman; Lempel finite-state compressibility; Merhav; Ziv finite-state compressibility; additive noise channels; binary modulo-additive noise channel; channel-coding; decoding; entropy rate; ergodic process; finite-state encoding; finite-state predictability; noise sequence; noiseless feedback; porosity; universal source coding; Channel coding; Decoding; Entropy; Noise; Probabilistic logic; Source coding; Lempel-Ziv; compressibility, predictability; modulo-additive channel; universal channel coding; universal source coding;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2014.2313578
  • Filename
    6778079