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  • The paper presents LDPC error correcting code optimization based on Tanner graph mutations. A statistical experiment focused on a heuristic LDPC code construction was performed with the genetic algorithm. The algorithm used is briefly described. Short wordlength LDPC code optimization was simulated. Results of these simulations are summarized in this paper.
  • The paper presents LDPC error correcting code optimization based on Tanner graph mutations. A statistical experiment focused on a heuristic LDPC code construction was performed with the genetic algorithm. The algorithm used is briefly described. Short wordlength LDPC code optimization was simulated. Results of these simulations are summarized in this paper. (en)
Title
  • LDPC code optimization based on Tanner graph mutations
  • LDPC code optimization based on Tanner graph mutations (en)
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  • LDPC code optimization based on Tanner graph mutations
  • LDPC code optimization based on Tanner graph mutations (en)
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  • RIV/49777513:23220/13:43919935!RIV14-MSM-23220___
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  • S
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  • 84463
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  • RIV/49777513:23220/13:43919935
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  • FEC, genetic optimization, LDPC (en)
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  • [FEC58A19E397]
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  • Bělehrad, Srbsko
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  • Bělehrad
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  • 21st Telecommunications Forum (TELFOR) Proceedings of Papers
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  • Georgiev, Vjačeslav
  • Broulím, Jan
  • Moldaschl, Jan
  • Paločko, Lukáš
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number of pages
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  • IEEE
https://schema.org/isbn
  • 978-1-4799-1419-7
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  • 23220
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