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Optimal Design of Degree Distribution in LT Codes Based on Evolution Strategy

机译:基于进化策略的LT码度分布优化设计

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Degree distribution is the most important component that is responsible for the performance of rateless codes. Evolution Strategy approach has been introduced into the degree optimization process along with Monte Carlo simulation evaluation to obtain a better degree distribution. Compared with Robust Soliton Distribution, this approach can obtain better degree distribution data which have a lower mean value of the degree and a lower successful decoding overhead. Simulation results show that degree distribution optimization approach of LT codes with the evolution strategy algorithm is effective.
机译:度分布是负责无速率代码性能的最重要组成部分。进化策略方法已与Monte Carlo仿真评估一起引入了度优化过程,以获得更好的度分布。与鲁棒孤子分布相比,该方法可以获得更好的度分布数据,该度分布数据具有较低的度平均值和较低的成功解码开销。仿真结果表明,采用进化策略算法的LT码度分布优化方法是有效的。

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