DocumentCode
1914647
Title
Genetic Algorithms for Turbo Codes
Author
Hebbes, Luke ; Malyan, Ronald R. ; Lenaghan, Andrew P.
Author_Institution
Fac. of Comput., Inf. Syst. & Math., Kingston Univ.
Volume
1
fYear
2005
fDate
21-24 Nov. 2005
Firstpage
478
Lastpage
481
Abstract
This paper proposes a scheme for introducing genetic algorithms (GA) into the turbo code structure to enable the systematic data to be discarded at the encoder and reconstructed at the decoder. The scheme enables code rates of frac12 to be achieved without puncturing the parity data. The paper also shows that the speed of convergence of GAs, when implemented in the proposed structure, can be used to reduce the computational overhead involved in the turbo decoder
Keywords
decoding; genetic algorithms; turbo codes; convergence speed; genetic algorithms; systematic data; turbo code structure; turbo decoder; Channel coding; Computer networks; Convergence; Decoding; Electronic mail; Forward error correction; Genetic algorithms; Information systems; Mathematics; Turbo codes; Channel Coding; Code Rate; Genetic Algorithms; Puncturing; Turbo Codes;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer as a Tool, 2005. EUROCON 2005.The International Conference on
Conference_Location
Belgrade
Print_ISBN
1-4244-0049-X
Type
conf
DOI
10.1109/EURCON.2005.1629968
Filename
1629968
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