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Comparison of various mutation schemes of Differential Evolution algorithm for the design of low-pass FIR filter

机译:低通冷滤波器设计差分演化算法各种突变方案的比较

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Differential Evolution (DE) has established itself as a very useful tool in the domain of optimization technique in recent times. It has found its paramount importance in various signal processing applications. Amongst them, design of Finite duration Impulse Response (FIR) filter using DE algorithm has drawn special interest in recent times. In this paper, we have analyzed the impact of various mutation strategies of DE algorithm for the design of linear-phase low-pass FIR filter. The performance of this evolutionary optimization technique has been evaluated in terms of its convergence behaviour for different mutation schemes. Additionally, the behaviour of the designed filter under different mutation strategies has been analyzed by studying its magnitude and impulse response. Finally, the most suitable mutation scheme has been suggested for this specific design problem.
机译:差分进化(DE)在近时在优化技术领域建立了一个非常有用的工具。它已在各种信号处理应用程序中找到了至关重要的重要性。其中,使用De算法的有限持续时间脉冲响应(FIR)滤波器的设计对近时绘制了特殊兴趣。在本文中,我们已经分析了DE算法各种突变策略对线性相位低通冷滤波器设计的影响。在不同突变方案的收敛行为方面已经评估了这种进化优化技术的性能。另外,通过研究其幅度和脉冲应答,分析了设计过滤器在不同突变策略下的行为。最后,已经为该特定设计问题提出了最合适的突变方案。

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