Kniha On The ACB Compressor Jonatan Masci

On The ACB Compressor

Analysis and experimental results

Autor: Jonatan Masci
Jazyk: Angličtina
Vazba: Brožovaná
Dostupnost: U nakladatele na objednávku
Odesíláme za 17-27 dnů
1 174
Context-based compression methods are the most powerful approaches to squeeze arbitrary textual data...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2009
Stránek
68
EAN
9783639189193
Enbook ID
06827045
Hmotnost
107
Rozměry
150 x 220 x 3

Kompletní popis

Context-based compression methods are the most powerful approaches to squeeze arbitrary textual data. They offer a good predictive model for the subsequent data based on the already seen one, without assuming any probability distribution for the input source. In this thesis we analyze the adaptive ACB method which is mostly unexplored in the literature, although preliminary results showed compression ratios comparable (or even superior) to the best known data compression utilities. The novel feature of ACB consists of deploying both the previous context and the subsequent content to find a succinct encoding for the latter one. We perform a large set of experiments to study the experimental behavior of ACB and to compare it with known compressors, thus devising variations of the basic ACB-scheme that result promising for future developments.

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