Conference papers
Turbo codes optimization using genetic algorithms
Abstract : Turbo codes have been an important revolution in the digital communications world. Since their discovery, the coding community has been trying to understand, explain and improve turbo codes. The floor phenomenon is the parallel concatenated convolutional turbo codes main problem. In this paper, genetic algorithms are used to lower the free distance of such a code. Results in terms of bit error rate are compared to the other main methods.
Cited literature [10 references]
https://hal-enac.archives-ouvertes.fr/hal-00937737
Contributor : Laurence Porte <>
Submitted on : Tuesday, April 29, 2014 - 4:59:53 PM
Last modification on : Friday, July 10, 2020 - 1:04:48 PM
Document(s) archivé(s) le : Tuesday, July 29, 2014 - 10:45:47 AM
Contributor : Laurence Porte <>
Submitted on : Tuesday, April 29, 2014 - 4:59:53 PM
Last modification on : Friday, July 10, 2020 - 1:04:48 PM
Document(s) archivé(s) le : Tuesday, July 29, 2014 - 10:45:47 AM
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Durand_CEC1999.pdf
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