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  • One of the most important parameters that must be treated to improve one of the most successful channel encoding technologies, is to improve the asymptotic coding gain of the Turbo codes, which will require the study of the improvement possibilities of its free distance. The genetic algorithms was the best optimizing solution applied in [10, 12], to design an efficient interleaver permitting large range of applications for deep communication systems, In this present article we are using the GA with the free distance as a fitness function to evolve our interleaver design based on the biological optimizing process.
  • One of the most important parameters that must be treated to improve one of the most successful channel encoding technologies, is to improve the asymptotic coding gain of the Turbo codes, which will require the study of the improvement possibilities of its free distance. The genetic algorithms was the best optimizing solution applied in [10, 12], to design an efficient interleaver permitting large range of applications for deep communication systems, In this present article we are using the GA with the free distance as a fitness function to evolve our interleaver design based on the biological optimizing process. (en)
Title
  • Optimizing Turbo codes free distance computation garello's method by genetic algorithms
  • Optimizing Turbo codes free distance computation garello's method by genetic algorithms (en)
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  • Optimizing Turbo codes free distance computation garello's method by genetic algorithms
  • Optimizing Turbo codes free distance computation garello's method by genetic algorithms (en)
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  • RIV/61989100:27240/08:86085137!RIV13-MSM-27240___
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  • Z(MSM6198910027)
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  • 385278
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  • RIV/61989100:27240/08:86085137
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  • Turbo codes; Interleaver; HLC; GA (en)
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http://linked.open...ontrolniKodProRIV
  • [61934F83BB81]
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  • Las Vegas
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  • Las Vegas, Nevada
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  • Proceedings of the 2008 International Conference on Genetic and Evolutionary Methods, GEM 2008
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  • Krömer, Pavel
  • Platoš, Jan
  • Snášel, Václav
  • Ouddane, Nabil
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  • CSREA Press
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  • 978-1-60132-069-8
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  • 27240
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