Optimization of Turbo Codes by Differential Evolution and Genetic Algorithms
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F09%3A00020998" target="_blank" >RIV/61989100:27240/09:00020998 - 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
Optimization of Turbo Codes by Differential Evolution and Genetic Algorithms
Original language description
Since their appearance in 1993, first approaching the Shannon limit, turbo codes gave a new direction in the channel encoding field, especially since they have been adopted for multiple telecommunication norms. To obtain good performance, it is necessaryto design a robust turbo code interleaver. This paper proposes a a differential evolution approach to find above average turbo code interleavers. Performance is compared with the conventional genetic algorithm approach and the empirical results illustrate that DE performs well.
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/GA102%2F09%2F1494" target="_blank" >GA102/09/1494: New methods od data transmition based on turbo code</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Ninth International Conference on Hybrid Intelligent Systems, 2009. HIS '09.
ISBN
978-0-7695-3745-0
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
IEEE Computer Society
Place of publication
Los Alamitos, California
Event location
Shenyang, China
Event date
Aug 12, 2009
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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