Name
Abstract | ||
|---|---|---|
Throughout the past decade, the discovery of turbo codes has been considered as one of the most successful researches whose impact significantly enhanced the quality of modern communication systems. To obtain an excellent performance, it is necessary to design robust turbo code interleaver. In the recent time, there were several attempts to apply genetic algorithms to improve the performance of turbo codes by optimization of the interleaver. This paper investigates the optimization of turbo code interleaver with free distance as a fitness function. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/DEXA.2008.95 | DEXA Workshops |
Keywords | Field | DocType |
genetic algorithms,excellent performance,recent time,past decade,turbo code interleaver,robust turbo code interleaver,genetic algorithm,fitness function,better turbo codes,modern communication system,free distance,turbo code,encoding,optimization,bit error rate,turbo codes,communication system | Data mining,Computer science,Turbo code,Serial concatenated convolutional codes,Communications system,Fitness function,Theoretical computer science,Free distance,Computer engineering,Genetic algorithm,Encoding (memory),Bit error rate | Conference |
ISSN | Citations | PageRank |
1529-4188 | 0 | 0.34 |
References | Authors | |
3 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Václav Snáel | 1 | 37 | 10.63 |
| Jan Plato | 2 | 17 | 3.30 |
| Krömer Pavel | 3 | 330 | 59.99 |
| Nabil Ouddane | 4 | 4 | 2.93 |