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A Post-Processing Mechanism for Sequential Use of Static and Dynamic Enumerative Code

机译:顺序使用静态和动态枚举代码的后处理机制

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摘要

A bijection between a complete set of source words and a complete set of codewords defines a variable-to-variable length (W) source code. Such code is used to parse sequentially a source sequence into codewords, In a naive parsing of a finite source sequence, the last incomplete source word requires a separate post-processing. However, if the sizes of the source and the code alphabet are the same and an end-offile is available, we show that there is an abstract and compact method for the post-processing. Furthermore, when a W code is a concatenation of VF (variable-to-fixed length) source code and a complete FV (fixed-to-variable length) integer code, we propose a simple enumerative code implementation, which can be used for processing the last word before the end-offile. This reduces the programming complexities compared with a naive post-processing. Furthermore, we apply the implementation to a dictionary trie based method for lossless data compressions, in particular, to the Ziv-Lempel incremental parsing algorithm. Finally, we extend the description in the binary alphabet to the one in a non-binary alphabet.
机译:一组完整的源字和一组完整的代码字之间的双射定义了可变长度到可变长度(W)的源代码。此类代码用于将源序列顺序解析为代码字。在有限源序列的朴素解析中,最后一个不完整的源字需要单独的后处理。但是,如果源代码和代码字母的大小相同,并且可以使用结尾符,则表明存在一种抽象且紧凑的后处理方法。此外,当W代码是VF(可变长度到固定长度)源代码和完整的FV(固定长度到可变长度)整数代码的串联时,我们提出了一种简单的枚举代码实现,可将其用于处理进攻端的最后一个字。与朴素的后处理相比,这降低了编程的复杂性。此外,我们将该实现应用于基于字典特里的无损数据压缩方法,尤其是Ziv-Lempel增量解析算法。最后,我们将二进制字母表中的描述扩展到非二进制字母表中的描述。

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