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.
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页码：349 / 351
页数：3
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