| 改进的自适应LMS算法 |
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| 引用本文： | 李萍萍,裴炳南,胡立军.改进的自适应LMS算法[J].计算机工程与应用,2011,47(13):134-135. |
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| 作者姓名： | 李萍萍 裴炳南 胡立军 |
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| 作者单位： | 1. 大连大学,信息工程学院,辽宁,大连,116622
2. 中国人民解放军海军,92819部队 |
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| 摘 要： | LMS(Least Mean Square)算法因其结构简单、稳定性好等优点,得到了广泛的应用,但在收敛速度和稳态失调之间存在着固有矛盾,通过对步长因子的调整可以克服这一矛盾.分析研究了已有的变步长LMS算法,在此基础上提出了一种改进的变步长LMS算法.理论分析和计算机仿真表明该算法不但具有较快的收敛速率,并且具有更小...
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| 关 键 词： | 变步长 最小均方误差(LMS)算法 收敛速率 稳态误差 |
| 修稿时间： | |
Improved adaptive LMS algorithm |
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| LI Pingping,PEI Bingnan,HU Lijun.Improved adaptive LMS algorithm[J].Computer Engineering and Applications,2011,47(13):134-135. |
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| Authors: | LI Pingping PEI Bingnan HU Lijun |
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| Affiliation: | 1.School of Information Engineering,Dalian University,Dalian,Liaoning 116622,China 2.Marine of Chinese People’s Liberation Army 92819 |
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| Abstract: | LMS（Least Mean Square） algorithm is widely used due to its simple and stable performance.But there is an inherent conflict between the convergence rate and steady-state misadjustment,which can be overcome through the adjustment of size factor.A new improved LMS algorithm is presented according to the analysis of some variable step size algorithms.The computer simulation results are consistent with the theoretic analysis,which show that the algorithm not only has a faster convergence rate,but also has a smaller steady-state error |
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| Keywords: | variable step-size Least Mean Square （LMS） algorithm convergence rate steady-state error |
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