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基于克隆选择算法的IIR数字滤波器优化设计 被引量:3

IIR digital filter optimization design based on clonal selection algorithms
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摘要 鉴于IIR数字滤波器设计本质上是一个多参数非线性复杂函数优化问题,提出应用具有全局搜索能力强,收敛速度快特点的克隆选择算法优化IIR数字滤波器的相关参数,进而形成一种新的IIR数字滤波器优化设计方法。给出了IIR滤波器优化设计的数学模型,描述了应用克隆选择算法优化设计IIR数字滤波器的具体实现步骤,并通过低通和高通IIR数字滤波器设计的仿真结果表明该方法的有效性和高效性。 Based on optimization design for IIR digital filters being a multi-parameters and non-linear complex function optimization problem, a novel method of IIR digital filters optimization design is proposed, its core is that clonal selection algorithms (CSA), which has the characteristics of more powerful global and rapider convergence, is applied on optimizing the interrelated parameters of fIR digital filters. In this paper, firstly, the maths model of IIR digital filter optimization design is proposed. Secondly, the process of optimization design for IIR digital filters on the basis of CSA is described in detail. Finally, the validity and effectivenss of the introduced method are demonstrated by experimental results on the low pass and high pass IIR digital filters.
作者 孙成发 高辉
出处 《电力系统保护与控制》 EI CSCD 北大核心 2008年第17期75-78,83,共5页 Power System Protection and Control
关键词 克隆选择算法 优化 IIR 数字滤波器 滤波器设计 clonal selection algorithms optimization IIR digital filter filter design
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