Convergence Analysis of LMS based Adaptive filter

被引：0

作者：

Rai, Amrita ^{[1
]}

Kohli, Amit Kumar ^{[1
]}

机构：

[1] Thaper Univ, Patiala, Punjab, India

来源：

INTERNATIONAL CONFERENCE ON METHODS AND MODELS IN SCIENCE AND TECHNOLOGY (ICM2ST-10) | 2010年 / 1324卷

关键词：

Adaptive filter; LMS algorithm; Convergence analysis;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A standard algorithm for LMS-filter simulation, tested with several convergence criteria is presented in this paper. We analyze the steady-state mean square error (MSE) convergence of the LMS algorithm when random functions are used as reference inputs. In this paper, we make a more precise analysis using the deterministic nature of the reference inputs and their time-variant correlation matrix. Simulations performed under MATLAB show remarkable differences between convergence criteria with various value of the step size.

引用

页码：349 / 351

页数：3

共 16 条

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