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文章基本信息

  • 标题:Extractors for the Real World
  • 作者:Kundi Xue ; Marius Zimand
  • 期刊名称:Journal of Universal Computer Science
  • 印刷版ISSN:0948-6968
  • 出版年度:2000
  • 卷号:6
  • 期号:1
  • 页码:212-225
  • 出版社:Graz University of Technology and Know-Center
  • 摘要:Extractors are a special type of binary graphs that can be utilized to improve the quality of randomness sources that generate strings with small entropy. The paper explores constructions of extractors that are practical and easy to implement. Randomized and deterministic constructions are presented and compared with some previously known constructions that achieve very good asymptotical performances. One of our methods is shown to have a better behavior for reasonable values of the involved parameters. 1 C.S.Calude and G.Stefanescu (eds.). Automata, Logic, and Computability. Special issue dedicated to Professor Sergiu Rudeanu Festschrift.
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