Počet záznamů: 1

Interleaver Optimization using Population-Based Metaheuristics

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    0350889 - UIVT-O 2011 RIV CZ eng J - Článek v odborném periodiku
    Snášel, V. - Platoš, J. - Krömer, P. - Abraham, A. - Ouddane, N. - Húsek, Dušan
    Interleaver Optimization using Population-Based Metaheuristics.
    Neural Network World. Roč. 20, č. 5 (2010), s. 591-608 ISSN 1210-0552
    Grant CEP: GA ČR GA205/09/1079
    Grant ostatní: GA ČR(CZ) GA102/09/1494
    Výzkumný záměr: CEZ:AV0Z10300504
    Klíčová slova: turbo codes * global optimization * genetic algorithms * differential evolution * noisy communication channel
    Kód oboru RIV: IN - Informatika
    Impakt faktor: 0.511, rok: 2010

    Since their appearance in 1993, first approaching the Shannon limit, turbo codes have given a new direction in the channel encoding field, especially since they have been adopted for multiple norms of telecommunications such as deeper communication. A robust interleaver can significantly contribute to the overall performance a turbo code system. Search for a good interleaver is a complex combinatorial optimization problem. In this paper, we present genetic algorithms and differential evolution, two bio-inspired approaches that have proven the ability to solve non-trivial combinatorial optimization tasks, as promising optimization methods to find a well-performing interleaver for large frame sizes.
    Trvalý link: http://hdl.handle.net/11104/0006150
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