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Phase Response Design of Recursive All-Pass Digital Filters Using a Modified PSO Algorithm

机译:使用修改的PSO算法递归全通量数字滤波器的相位响应设计

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This paper develops a new design scheme for the phase response of an all-pass recursive digital filter. A variant of particle swarm optimization (PSO) algorithm will be utilized for solving this kind of filter design problem. It is here called the modified PSO (MPSO) algorithm in which another adjusting factor is more introduced in the velocity updating formula of the algorithm in order to improve the searching ability. In the proposed method, all of the designed filter coefficients are firstly collected to be a parameter vector and this vector is regarded as a particle of the algorithm. The MPSO with a modified velocity formula will force all particles into moving toward the optimal or near optimal solution by minimizing some defined objective function of the optimization problem. To show the effectiveness of the proposed method, two different kinds of linear phase response design examples are illustrated and the general PSO algorithm is compared as well. The obtained results show that the MPSO is superior to the general PSO for the phase response design of digital recursive all-pass filter.
机译:本文开发了一种新的设计方案,用于全传递递送数字滤波器的阶段响应。粒子群优化(PSO)算法的变体将用于解决这种过滤器设计问题。这里称为修改的PSO(MPSO)算法,其中在算法的速度更新公式中更介绍另一个调节因子,以提高搜索能力。在所提出的方法中,首先将所有设计的滤波器系数收集为参数向量,并且该向量被认为是算法的粒子。具有改进的速度公式的MPSO将使所有粒子通过最小化优化问题的一些定义的目标函数来朝向最佳或接近最佳解决方案。为了显示所提出的方法的有效性,示出了两种不同的线性相位响应设计示例,并且还比较了一般的PSO算法。所获得的结果表明,MPSO优于一般PSO,用于数字递送全通滤波器的相位响应设计。

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