• DocumentCode
    3508426
  • Title

    Computing the capacity of rewritable memories

  • Author

    Bunte, Christoph ; Lapidoth, Amos

  • Author_Institution
    Signal & Inf. Process. Lab., ETH Zurich, Zurich, Switzerland
  • fYear
    2011
  • fDate
    July 31 2011-Aug. 5 2011
  • Firstpage
    2512
  • Lastpage
    2516
  • Abstract
    We propose an algorithm for computing the capacity of discrete rewritable storage devices subject to a constraint on the maximal number of rewrite operations. The linchpin is that-although the number of writing strategies is exponential in the maximal number of allowed rewrites-linear functionals of the probabilities they induce on the output space can be efficiently maximized using Dynamic Programming.
  • Keywords
    digital storage; dynamic programming; probability; discrete rewritable storage devices; dynamic programming; linchpin; probability linear functionals; rewritable memories; rewrite operations; writing strategies; Approximation algorithms; Entropy; Information theory; Memoryless systems; Prediction algorithms; Signal processing algorithms; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2011 IEEE International Symposium on
  • Conference_Location
    St. Petersburg
  • ISSN
    2157-8095
  • Print_ISBN
    978-1-4577-0596-0
  • Electronic_ISBN
    2157-8095
  • Type

    conf

  • DOI
    10.1109/ISIT.2011.6034020
  • Filename
    6034020