One-to-one lossless codes in the variable input-length regime: Back to Kraft's inequality

M. Weinberger
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Abstract

Unique decodability in the “one-shot” lossless coding scenario, where a single block of source samples is compressed, requires the assignment of distinct codewords to different blocks (one-to-one mapping), without the prefix constraint. As a result, for fixed-length blocks, the corresponding block entropy is not a lower bound on the expected code length, a fact that has recently attracted renewed interest. In this note, we consider an alternative scenario, where the encoder is fed with blocks of arbitrary length, which we argue better reflects the conditions under which one-shot codes may be of any interest. Elaborating on an argument by Rissanen, we first show that the block-entropy is still a fundamental performance bound for one-to-one codes. We then design a code that essentially achieves this bound and satisfies Kraft's inequality for each block length. This code can be implemented with a modification to the termination procedure of the popular Shannon-Fano-Elias code. We conclude that Kraft's inequality is relevant also in the one-shot coding scenario.
可变输入长度体制下的一对一无损码:回到卡夫不等式
在“一次性”无损编码场景中,压缩单个源样本块的唯一可解码性要求将不同的码字分配到不同的块(一对一映射),而没有前缀约束。因此,对于固定长度的块,相应的块熵不是预期代码长度的下界,这一事实最近引起了人们的重新关注。在本文中,我们考虑了另一种方案,其中编码器被输入任意长度的块,我们认为这更好地反映了一次性代码可能具有任何兴趣的条件。在阐述Rissanen的论点的基础上,我们首先证明了块熵仍然是一对一编码的基本性能界限。然后,我们设计一个代码,基本上达到这个界限,并满足卡夫不等式的每个块长度。该代码可以通过修改流行的香农-法诺-埃利亚斯代码的终止程序来实现。我们得出的结论是,卡夫不等式也与一次性编码情景相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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