Time-Sharing Vs. Source-Splitting in the Slepian-Wolf Problem: Error Exponents Analysis

Snowbird, UT(2006)

引用 1|浏览0
暂无评分
摘要
We discuss two approaches for decoding at arbitrary rates in the Slepian-Wolf problem - time sharing and source splitting - both of which rely on constituent vertex decoders. We consider the error exponents for both schemes and conclude that source-splitting is more robust at coding at arbitrary rates, as the error exponent for time-sharing degrades significantly at rates near vertices.As a by-product of our analysis, we exhibit an interesting connection between minimum meansquared error estimation and error exponents.
更多
查看译文
关键词
time-sharing vs,error exponents analysis,error exponent,source splitting,minimum meansquared error estimation,slepian-wolf problem,interesting connection,arbitrary rate,time-sharing degrades,time sharing,constituent vertex decoder,data compression,degradation,information analysis,probability distribution,decoding,robustness,minimum mean square error
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要