A LMS Adaptive Filtering Algorithm with Variable Step Size

吴光弼; 祝琳瑜

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A LMS Adaptive Filtering Algorithm with Variable Step Size

更新时间：2025-12-08

- A LMS Adaptive Filtering Algorithm with Variable Step Size
- Acta Electronica Sinica Issue 1, (1994)
- 作者机构：
  
  四川大学无线电电子学系
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911.7
- Published：1994
- 稿件说明：
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[1]吴光弼,祝琳瑜.一种变步长LMS自适应滤波算法[J].电子学报,1994(01):55-61.

吴光弼, 祝琳瑜. A LMS Adaptive Filtering Algorithm with Variable Step Size[J]. Acta Electronica Sinica, 1994, (1).
[1]吴光弼,祝琳瑜.一种变步长LMS自适应滤波算法[J].电子学报,1994(01):55-61. DOI：

吴光弼, 祝琳瑜. A LMS Adaptive Filtering Algorithm with Variable Step Size[J]. Acta Electronica Sinica, 1994, (1). DOI：

摘要

本文基于对最速下降（算）法梯度的优化估值，提出了线性－指数（Ｌ．Ｅ）自适应滤波算法。文中指出：对最速下降法的梯度优化估值和对误差信号非线性处理，是改善ＬＭＳ算法性能的等同措施。文中的理论分析与计算机模拟结果都证实了Ｌ．Ｅ算法的性能优于［１］所提出的线性－符号（Ｌ．Ｓ）算法。理论分析与计算结果吻合较好。

Abstract

In this paper

the Linear-Exponential（L.E） algorithm are presented that is bassed on the optimal gradient estimation of steepest descent method .This point out that in order to improve the LMS algorithm performance

the gradient are optimally estimated

or the error signal are nonlinearity processed

these methods are equipollent. The theoreticaloanalysis and computer simulation show the performance of L.E algorithm is better than the L. S algorithm performance that is presented by [1]. The computer simulation result shows that very good match with the theoretical analysis.

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