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  • 标题:Testing and Reconstruction of Lipschitz Functions with Applications to Data Privacy
  • 本地全文:下载
  • 作者:Madhav Jha ; Sofya Raskhodnikova
  • 期刊名称:Electronic Colloquium on Computational Complexity
  • 印刷版ISSN:1433-8092
  • 出版年度:2011
  • 卷号:2011
  • 出版社:Universität Trier, Lehrstuhl für Theoretische Computer-Forschung
  • 摘要:and Spielman (IEEE IT, 1996) showed that any (cd) -regular expander code with expansion parameter 43 is decodable in \emph{linear time} from a constant fraction of errors. Feldman et al. (IEEE IT, 2007) proved that expansion parameter 32+13c is sufficient to correct a constant fraction of errors in \emph{polynomial time} using LP decoding. In this work we give a simple combinatorial algorithm that achieves even better parameters. In particular, our algorithm runs in \emph{linear time} and works for any expansion parameter 32−16c.
  • 关键词:decoding, Error-correcting codes, expander codes, LDPC codes
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