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LZAC lossless data compression

Authors: Allan Chu;

LZAC lossless data compression

Abstract

Summary form only given. This paper presents LZAC, a new universal lossless data compression algorithm derived from the popular and widely used LZ77 family. The objective of LZAC is to improve the compression ratios of the LZ77 family while still retaining the family's key characteristics: simple, universal and fast in decoding and economical in memory consumption. LZAC presents two new ideas: composite fixed-variable-length coding and offset-difference coding. The two new concepts enable LZAC to improve the LZ family's compression ratios further without using the complex and slow adaptive arithmetic coding or Huffman coding. The Calgary corpus was used to evaluate LZAC's performance. The results show that LZAC achieves a non-weighted average compression ratio of 2.94 bits/char in an 8-kbyte window which surpasses the performance of any other compression algorithm in the LZ77 and LZ78 families.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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