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On the Overflow Probability of Fixed-to-Variable Length Codes with Side Information

机译:具有辅助信息的定长到可变长码的溢出概率

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摘要

The overflow probability is one of criteria that evaluate the performance of fixed-to-variable length (FV) codes. In the single source coding problem, there were many researches on the overflow probability. Recently, the source coding problem for correlated sources, such as Slepian-Wolf coding problem or source coding problem with side information, is one of main topics in information theory. In this paper, we consider the source coding problem with side information. In particular, we consider the FV code in the case that the encoder and the decoder can see side information. In this case, several codes were proposed and their mean code lengths were analyzed. However, there was no research about the overflow probability. We shall show two lemmas about the overflow probability. Then we obtain the condition that there exists a FV code under the condition that the overflow probability is smaller than or equal to some constant.
机译:溢出概率是评估固定可变长度(FV)码性能的标准之一。在单源编码问题中,有很多关于溢出概率的研究。近来,相关源的源编码问题,例如Slepian-Wolf编码问题或带有辅助信息的源编码问题,是信息理论的主要主题之一。在本文中,我们考虑附带信息的源编码问题。特别地,在编码器和解码器可以看到辅助信息的情况下,我们考虑FV码。在这种情况下,提出了几种编码,并分析了其平均编码长度。但是,没有关于溢出概率的研究。我们将显示关于溢出概率的两个引理。然后,在溢出概率小于或等于某个常数的条件下,获得存在FV码的条件。

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