• DocumentCode
    2652370
  • Title

    Estimating the partition function of 2-D fields and the capacity of constrained noiseless 2-D channels using tree-based Gibbs sampling

  • Author

    Loeliger, Hans-Andrea ; Molkaraie, Mehdi

  • Author_Institution
    Dept. of Inf. Technol. & Electr. Eng., ETH Zurich, Zurich, Switzerland
  • fYear
    2009
  • fDate
    11-16 Oct. 2009
  • Firstpage
    228
  • Lastpage
    232
  • Abstract
    Tree-based Gibbs sampling (proposed by Hamze and de Freitas) is used to compute a Monte-Carlo estimate of the partition function of factor graphs with cycles. The proposed method can be used, in particular, to compute the capacity of noiseless constrained 2-D channels.
  • Keywords
    Gaussian channels; Monte Carlo methods; 2-d field partition function; Monte-Carlo estimate; constrained noiseless 2-d channel capacity; factor graphs; tree-based Gibbs sampling; Conferences; Constraint theory; Estimation theory; Information technology; Information theory; Physics; Probability; Sampling methods; Temperature distribution; Tree graphs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Workshop, 2009. ITW 2009. IEEE
  • Conference_Location
    Taormina
  • Print_ISBN
    978-1-4244-4982-8
  • Electronic_ISBN
    978-1-4244-4983-5
  • Type

    conf

  • DOI
    10.1109/ITW.2009.5351455
  • Filename
    5351455