• DocumentCode
    1340170
  • Title

    On Extracting Common Random Bits From Correlated Sources

  • Author

    Bogdanov, Andrej ; Mossel, Elchanan

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Chinese Univ. of Hong Kong, Hong Kong, China
  • Volume
    57
  • Issue
    10
  • fYear
    2011
  • Firstpage
    6351
  • Lastpage
    6355
  • Abstract
    Suppose Alice and Bob receive strings of unbiased independent but noisy bits from some random source. They wish to use their respective strings to extract a common sequence of random bits with high probability but without communicating. How many such bits can they extract? The trivial strategy of outputting the first k bits yields an agreement probability of (1-ε)k <; 2-1.44kε, where ε is the amount of noise. We show that no strategy can achieve agreement probability better than 2-kε/(1-ε). On the other hand, we show that when k ≥ 10 + 2(1 - ε)/ε, there exists a strategy which achieves an agreement probability of 0.003(kε)-1/2 · 2-kε/(1-ε).
  • Keywords
    Hamming codes; probability; random codes; Hamming weight code; common random noisy bit extraction; correlated sources; first k bits; probability; Correlation; Entropy; Hamming weight; Noise; Noise measurement; Protocols; Upper bound; Common information; randomness extraction;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2011.2134067
  • Filename
    6034732