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Improving the Redundancy of Slepian-Wolf Coding by Feedback

机译:通过反馈提高Slepian-Wolf编码的冗余

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For any memoryless source-side information pair (X, Y) with finite alphabet, it is well known that the smallest compression rate in bits per letter achievable in Slepian-Wolf coding, I.e., coding X with Y being available only to the decoder, is the conditional entropy H(X|Y). Though this rate is the same as the best rate achievable in traditional lossless source coding of X with Y being available to both the encoder and the decoder, it has been found recently that the redundancy R_n(ε_n) of Slepian-Wolf coding, which is defined as the minimum of the difference between the compression rate of any Slepian-Wolf code resulting from coding X_1~n with decoding error ε_n, and H(X|Y), is significantly worse than that of traditional source coding. In this paper, we investigate whether feedback from the decoder to the encoder can improve the compression efficiency of Slepian-Wolf coding. It turns out that the answer is affirmative. More specifically, it is shown that feedback reduces the redundancy of Slepian-Wolf coding significantly.
机译:对于任何具有有限字母的无记忆源侧信息对(X,Y),众所周知,在Slepian-Wolf编码即I编码X且仅对解码器可用的情况下,以每个字母的比特为单位的最小压缩率,是条件熵H(X | Y)。尽管此速率与传统X的无损源编码可达到的最佳速率相同,而Y既可用于编码器也可用于解码器,但是最近发现,Slepian-Wolf编码的冗余R_n(ε_n)为定义为具有解码误差ε_n的X_1〜n编码的任何Slepian-Wolf码的压缩率与H(X | Y)之差的最小值,比传统的源编码差得多。在本文中,我们研究了从解码器到编码器的反馈是否可以提高Slepian-Wolf编码的压缩效率。事实证明,答案是肯定的。更具体地,示出了反馈显着降低了Slepian-Wolf编码的冗余。

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