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A Recursive Variable Fractional Delay FIR Filters Design Scheme Using Particle Swarm Optimization Algorithm

机译:基于粒子群算法的递归可变分数延迟FIR滤波器设计方案

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A novel recursive scheme to compute the global and robust optimal variable fractional delay (VFD) filters based on the Particle Swarm Optimization (PSO) is developed in this paper. If the PSO is directly used to compute an optimal VFD filter the particles with high dimension might be yielded, which could require a long convergence time. Our recursive scheme invokes only the particles with much smaller dimension at each step of the computation. Experimental results demonstrate the effectiveness of the proposed approach.
机译:本文提出了一种基于粒子群优化(PSO)的全局和鲁棒的最优可变分数延迟(VFD)滤波器计算的递归方案。如果直接将PSO用于计算最佳VFD滤波器,则可能会产生具有高维的粒子,这可能需要较长的收敛时间。我们的递归方案在计算的每个步骤仅调用尺寸较小的粒子。实验结果证明了该方法的有效性。

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