Convergence Analysis of Threshold-based Sparse NLMS Algorithm

被引：0

作者：

Al-Hassan, Abdurahman ^{[1
]}

Sulyman, Ahmed Iyanda ^{[1
]}

Alsanie, Abdulhameed ^{[1
]}

机构：

[1] King Saud Univ, Coll Engn, Dept Elect Engn, Riyadh, Saudi Arabia

来源：

2013 7TH IEEE GCC CONFERENCE AND EXHIBITION (GCC) | 2013年

关键词：

Adaptive filter; NLMS Algorithm; Sparse Channel estimation; Convergence analysis;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this paper we present a threshold-based sparse NLMS algorithm. The proposed algorithm uses an energy threshold criterion to detect tap sparseness and update the active coefficients accordingly. The propsed algorithm is simple to implement, and our simulation results shows that it has better estimation performance in terms of convergence speed and MSE than the standard NLMS algorithm.

引用

页码：225 / 228

页数：4

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