基于阈值的稀疏NLMS算法收敛性分析

2013 7th IEEE GCC Conference and Exhibition (GCC) Pub Date : 2013-11-01 DOI:10.1109/IEEEGCC.2013.6705780

A. Al-Hassan, A. I. Sulyman, A. Alsanie

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摘要

本文提出了一种基于阈值的稀疏NLMS算法。该算法采用能量阈值准则检测抽头稀疏性，并相应地更新活动系数。该算法实现简单，仿真结果表明，该算法在收敛速度和MSE方面都比标准NLMS算法具有更好的估计性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Convergence analysis of threshold-based sparse NLMS algorithm

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.

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2013 7th IEEE GCC Conference and Exhibition (GCC)

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