一种采用归一化绝对估计误差的变步长算法

Dong-Wook Kim, Han-Bit Kang, M. Eun, Jongsoo Choi
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引用次数: 4

摘要

可变步长LMS (VS-LMS)算法通过改变步长来提高LMS算法的性能。本文提出了一种新的基于归一化绝对估计误差的VS-LMS算法。对该算法的性能进行了理论分析和仿真评估。理论分析和计算机仿真表明,与传统的VS-LMS算法相比,该算法是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A variable step size algorithm using normalized absolute estimation error
Variable step size LMS (VS-LMS) algorithms improve performance of LMS algorithm by means of varying the step size. This paper presents a new VS-LMS algorithm using normalized absolute estimation error. The performance of the proposed algorithm is analyzed theoretically and estimated through simulations. Based on the theoretical analysis and computer simulations, the proposed algorithm is shown to be effective compared to conventional VS-LMS algorithms.
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