WVDF Optimization Based on Genetic Algorithm

摘要：

It has been proved that optimization of WVDF filters coefficients using mathematical approaches cant converge to globally optimal coefficient weight vector. In this paper, genetic algorithm, which was proved that it was the most powerful unbiased optimization techniques for sampling a large solution space, is used to optimize WVDF filters coefficients. By using the Stochastic Selection of parents and the generation of optimal offspring, the optimal WVDF filter is obtained. The experiment result shows the validity of this optimization.

关键词： WVDF genetic algotithem coefficient opitimization

作者: Zhao Wei Liang Gang

作者单位: School of International Education Henan University Kaifeng, China School of computer and information engineering Henan University Kaifeng, China

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 1530-1533

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）