TITLE

ALEKSANDR BORISOVICH VAVRENYUK, ARKADY PAVLOVICH KLARIN, DATA COMPRESSION METHODS

AUTHOR(S)
VAVRENYUK, ALEKSANDR BORISOVICH; KLARIN, ARKADY PAVLOVICH; MAKAROV, VIKTOR VALENTINOVICH; SHURYGIN, VIKTOR ALEXANDROVICH
PUB. DATE
October 2015
SOURCE
Journal of Theoretical & Applied Information Technology;10/15/2015, Vol. 80 Issue 2, p202
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Currently, there is a sharp worldwide increase in the volumes of the transmitted, stored, and processed information. Despite a certain share of superficiality, the term "information explosion" rather precisely describes the existing situation. According to the American research statistics, the volume of information created by the mankind by the year 2007 and stored on the artificial carriers amounted to 295 billion gigabytes (2.95×1020 bytes). These volumes determine the great importance of the "data compression" field of knowledge. The concept of "data compression" (DC) is very broad. Therefore, this article makes an attempt of the DC systematization (classification), which can facilitate the study of the problem as a whole as well as the choice of an appropriate method for solving a particular problem. The most known areas and specific examples of the DC application are concerned.
ACCESSION #
110480123

 

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