Name
Title | ||
|---|---|---|
Giving Biological Behaviour to the Turbo Codes Efficient Interleaver with the Genetic Algorithms (New Interleaver Pattern BGOI) |
Abstract | ||
|---|---|---|
Since the appearance in 1993, first approaching the Shannon limit, the Turbo Codes give a new direction for the channel encoding field, especially since they were adopted for multiple norms of telecommunications, such as deeper communication. To obtain an excellent performance it is necessary to design robust turbo code interleaver. We are investigating genetic algorithms as a promising optimization method to find good performing interleaver for the large frame sizes. In this paper, we present our work, compare with several previous approaches and present experimental results. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/AMS.2008.129 | Asia International Conference on Modelling and Simulation |
Keywords | Field | DocType |
genetic algorithms,excellent performance,turbo codes,turbo codes efficient interleaver,genetic algorithm,new interleaver pattern bgoi,present experimental result,multiple norm,biological behaviour,new direction,large frame size,robust turbo code interleaver,shannon limit,deeper communication,bit error rate,turbo code,optimization,channel coding | Channel code,Computer science,Turbo code,Algorithm,Theoretical computer science,Channel encoding,Noisy-channel coding theorem,Genetic algorithm,Bit error rate | Conference |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Václav Snáel | 1 | 37 | 10.63 |
| Krömer Pavel | 2 | 330 | 59.99 |
| Nabil Ouddane | 3 | 4 | 2.93 |