Interleaver optimization by population based metaheuristics
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F10%3A86085028" target="_blank" >RIV/61989100:27240/10:86085028 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/NABIC.2010.5716363" target="_blank" >http://dx.doi.org/10.1109/NABIC.2010.5716363</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/NABIC.2010.5716363" target="_blank" >10.1109/NABIC.2010.5716363</a>
Alternative languages
Result language
angličtina
Original language name
Interleaver optimization by population based metaheuristics
Original language description
Turbo coding is an influential method of channel coding in telecommunications. The introduction of the turbo principle allowed close approach to the Shannon limit, a theoretical boundary describing the maximum capacity of a noisy communication channel. The invention of the turbo codes and its superior performance in practical applications also initiated a renaissance of channel coding research. The exceptional performance of the turbo codes can be further improved by finding right settings for a particular system. Among others, the structure of the interleaver performing a permutation of input bits is one important property of any turbo code system. In this paper, we present genetic algorithms and differential evolution as two promising optimization methods to find a well-performing turbo code interleaver.
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
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings - 2010 2nd World Congress on Nature and Biologically Inspired Computing, NaBIC 2010
ISBN
978-1-4244-7376-2
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
672 - 677
Publisher name
IEEE
Place of publication
Piscataway
Event location
Kitakyushu
Event date
Dec 15, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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