Practical fixed length Lempel-Ziv coding

Shmuel T. Klein; Dana Shapira

doi:10.1016/j.dam.2013.08.022

Practical fixed length Lempel-Ziv coding

Shmuel T. Klein
, Dana Shapira

Department of Computer Science and Artificial Intelligence

Ashkelon Academic College

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

Abstract

We explore the possibility of transforming the standard encodings of the main LZ methods to be of fixed length, without reverting to the originally suggested encodings. This has the advantage of allowing easier processing and giving more robustness against errors, while only marginally reducing the compression efficiency in certain cases.

Original language	English
Pages (from-to)	326-333
Number of pages	8
Journal	Discrete Applied Mathematics
Volume	163
Issue number	PART 3
DOIs	https://doi.org/10.1016/j.dam.2013.08.022
State	Published - 30 Jan 2014

Keywords

Compression
Fixed length encoding
Lempel-Ziv

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10.1016/j.dam.2013.08.022

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abstract = "We explore the possibility of transforming the standard encodings of the main LZ methods to be of fixed length, without reverting to the originally suggested encodings. This has the advantage of allowing easier processing and giving more robustness against errors, while only marginally reducing the compression efficiency in certain cases.",

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KW - Fixed length encoding

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Practical fixed length Lempel-Ziv coding

Abstract

Keywords

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