Genetic algorithms for better turbo codes
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F08%3A00021061" target="_blank" >RIV/61989100:27240/08:00021061 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Genetic algorithms for better turbo codes
Original language description
Throughout the past decade, the discovery of turbo codes has been considered as one of the most successful researches whose impact significantly enhanced the quality of modern communication systems. To obtain an excellent performance, it is necessary todesign robust turbo code interleaver. In the recent time, there were several attempts to apply genetic algorithms to improve the performance of turbo codes by optimization of the interleaver. This paper investigates the optimization of turbo code interleaver with free distance as a fitness function.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA201%2F06%2F0756" target="_blank" >GA201/06/0756: Development of a native storage for XML data</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
DEXA 2008: 19TH INTERNATIONAL CONFERENCE ON DATABASE AND EXPERT SYSTEMS APPLICATIONS, PROCEEDINGS
ISBN
978-0-7695-3299-8
ISSN
1529-4188
e-ISSN
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Number of pages
5
Pages from-to
544-548
Publisher name
IEEE Computer Society
Place of publication
Los Alamitos, California
Event location
Turin
Event date
Sep 1, 2008
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000259487400091