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基于自适应均衡器的LMS和RLS算法仿真分析

李明 黄华 夏建刚

微型机与应用2009,Vol.28Issue(20):56-58,3.
微型机与应用2009,Vol.28Issue(20):56-58,3.

基于自适应均衡器的LMS和RLS算法仿真分析

Simulation analysis of LMS and RLS algorithms based on adaptive equalizer

李明 1黄华 1夏建刚1

作者信息

  • 1. 四川大学,电气信息学院,四川,成都,610065
  • 折叠

摘要

Abstract

Basic principles of LMS and RLS algorithms based on adaptive equalizer are introduced firstly.Oblivion gene μ is the main factor affecting the convergence performance.The result of the simulation shows that the convergence speed of RLS algorithm is more faster obviously than LMS algorithm, and the errors are smaller than LMS algorithm too.

关键词

自适应均衡器/收敛/LMS/RLS/忘却因子

Key words

adaptive equalizer/convergence/LMS/RLS/oblivion gene

分类

信息技术与安全科学

引用本文复制引用

李明,黄华,夏建刚..基于自适应均衡器的LMS和RLS算法仿真分析[J].微型机与应用,2009,28(20):56-58,3.

微型机与应用

2097-1788

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