一种新的临界采样子带自适应结构的RLS算法

R. G. Alves, M. R. Petraglia, J. A. Apolinário, P. Diniz
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引用次数: 1

摘要

在最近发表的一篇文章中,获得了具有子带信号临界采样的自适应结构的新家族,从而获得了FIR系统的精确建模。本文提出了一种基于递推最小二乘(RLS)算法的子带结构自适应系数更新算法。讨论了结果结构的有效实现,从而节省了计算复杂性。计算机仿真验证了该算法的收敛性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
RLS algorithm for a new subband adaptive structure with critical sampling
In a recent publication new family of adaptive structures with critical sampling of the subband signals, which yields exact modeling of FIR systems, was obtained. In this paper an algorithm based on the recursive least-squares (RLS) algorithm is derived for the updating of the adaptive coefficients of this new subband structure. An efficient implementation of the resulting structure is discussed, leading to computational complexity savings. Computer simulations illustrate the convergence behavior of the proposed algorithm.
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