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Algorithm for Data Compression


 
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1. Title Title of document Algorithm for Data Compression
 
2. Creator Author's name, affiliation, country Sadou Samir; Mouloud Mammeri University; Algeria
 
2. Creator Author's name, affiliation, country Mohamed Ramdane; Mouloud Mammeri University; Algeria
 
2. Creator Author's name, affiliation, country Mustapha Lalam; LARI, Mouloud Mammeri University; Algeria
 
2. Creator Author's name, affiliation, country Rachid Ahmed-Ouamer; LARI, Mouloud Mammeri University; Algeria
 
3. Subject Discipline(s)
 
3. Subject Keyword(s)
 
4. Description Abstract

Nowadays, The data compression is very requested by the field of data processing to offer fast and less expensive software solutions which can give more effectiveness and speediness for the material used which, in certain case, reached its limits (Throughput, memory size). Several methods of compression were born since the discipline appeared; this variety of methods is due to the different types of data: images, audio, video, text, etc.

This paper proposes an algorithm of compression which can be used as well to solve the space of storage problem as to solve that of the limited throughput especially in real time applications.

This algorithm is based on a mathematical model (Prime numbers theory). So, the challenge is to find a mathematical reversible function which attributes to each sequence "S" of characters from the source file an integer "E" in the target file (compressed file).

 
5. Publisher Organizing agency, location
 
6. Contributor Sponsor(s)
 
7. Date (YYYY-MM-DD) 2007-07-15
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format PDF (Français (France))
 
10. Identifier Uniform Resource Identifier https://www.revue-eti.net/index.php/eti/article/view/79
 
11. Source Title; vol., no. (year) Electronic Journal of Information Technology; Issue 4
 
12. Language English=en fr
 
13. Relation Supp. Files
 
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.)
 
15. Rights Copyright and permissions Copyright (c) 2007 Sadou Samir, Mohamed Ramdane, Mustapha Lalam, Rachid Ahmed-Ouamer
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This work is licensed under a Creative Commons Attribution 4.0 International License.