A New Fast Convergence Adaptive Algorithm

P. Palanisamy, N. Kalyanasundaram
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引用次数: 2

Abstract

In this paper, a new fast convergence adaptive algorithm with variable step size is proposed for FIR adaptive filter. This new proposed algorithm is derived based on the quasi-Newton family. Simulation results are presented to compare the convergence of the proposed algorithm with least mean square (LMS) algorithm and RLS algorithm. It shows that the proposed new algorithm has comparable convergence speed to the other known adaptive algorithms
一种新的快速收敛自适应算法
针对FIR自适应滤波器,提出了一种新的变步长快速收敛自适应算法。提出了一种基于准牛顿族的算法。仿真结果比较了该算法与最小均方(LMS)算法和RLS算法的收敛性。结果表明,该算法与其他已知的自适应算法具有相当的收敛速度
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