fir带通滤波器matlab代码-G_best-Guided-Cuckoo-Search-Algorithm:[我的学士学位论文的一部分]使用

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fir带通滤波器matlab代码使用G_best引导的布谷鸟搜索算法高效设计FIR滤波器 这项工作是我的本科论文的一部分。 抽象的: 此存储库提供了使用G最佳引导的杜鹃搜索(GCS)算法的有限冲激响应(FIR)滤波器的有效设计。 为了减少传统的Cuckoo搜索算法(CSA)中的参数依赖性以及在滤波器设计问题中更好地搜索最佳系数,在所建议的GCS中对CSA方法进行了一些修改,这导致与Cuckoo搜索算法的收敛速度显着提高。最佳解决方案。 在这里,已经使用GCS , CSA和人工蜂群(ABC)算法为Type1和Type 2 FIR设计了低通和带通滤波器。 结果: 从GCS,CSA和ABC的图形和统计观察()中可以看出, GCS在收敛速度,执行时间和过滤器响应方面均超过了竞争对手。 此外,使用建议的GCS开发的滤波器获得的阻带衰减(As)和通带纹波(Rp)远远优于使用CSA,ABC或Parks and McClellan(PM)方法设计的滤波器。 一项平均研究表明,对于较低阶的LPF(类型1和类型2的阶次均小于40),GCS显示As升高9.23% ,Rp降低26.05% 。 对于更高阶的LP

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