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Distributed Block Arithmetic Coding for Equiprobable Sources

机译:等概率源的分布式块算术编码

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摘要

Distributed arithmetic coding (DAC) is similar to syndrome coding, in the sense that message sequences sharing the same interval can be considered a coset of the space of the source sequences, and the codeword is the index of the coset. In this paper, the minimum Hamming distance of cosets is studied and it is proved that such a distance is as small as one. By only allowing the sequences with a large Hamming distance to overlap in the same interval, an improved DAC scheme is proposed. Simulation results show that, for equiprobable memoryless sources, this approach outperforms DAC in terms of decoding error rate at the same coding cost. In addition, at small sequence length, the decoding error rate of the proposed scheme is lower than that of distributed source coding based on low-density parity-check codes for highly correlated sources.
机译:分布式算术编码(DAC)与校正子编码类似,在某种意义上,可以将共享同一时间间隔的消息序列视为源序列空间的陪集,而码字是陪集的索引。本文研究了陪伴集的最小汉明距离,并证明该距离最小。通过仅允许具有大汉明距离的序列在相同间隔内重叠,提出了一种改进的DAC方案。仿真结果表明,对于等概率的无记忆源,在相同编码成本下,该方法在解码错误率方面优于DAC。另外,在较小的序列长度下,所提出的方案的解码错误率低于基于针对高度相关源的低密度奇偶校验码的分布式源编码的解码错误率。

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