Optimizing Interleaver for Turbo Codes by Genetic Algorithms

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F07%3A00017828" target="_blank" >RIV/61989100:27240/07:00017828 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Optimizing Interleaver for Turbo Codes by Genetic Algorithms
Original language description
Since the appearance in 1993, first approaching the Shannon limit, the Turbo Codes give a new direction for the channel encoding field, especially since they were adopted for multiple norms of telecommuni-cations, such as deeper communication. To obtainan excellent performance it is necessary to design robust turbo code interleaver. We are investigating genetic algorithms as a promising optimization method to find good performing interleaver for the large frame sizes. In this paper, we present our work, compare with sev-eral previous approaches and present experimental results.
Czech name
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Czech description
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Project
<a href="/en/project/1ET100300414" target="_blank" >1ET100300414: Intelligent methods for incresing of reliability of electrical networks</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2007
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
19TH IEEE INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, VOL I, PROCEEDINGS
ISBN
978-0-7695-3015-4
ISSN
1082-3409
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
Patras, Greece
Event date
Oct 29, 2007
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000253292600062

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