[1]吴墀衍,郑政谋.奇异噪声环境下传统与稳健LMS算法的性能研究[J].深圳大学学报理工版,1992,(1-2):81-90.
　Wu Chiyan,Zheng Zhengmou.The Performance Study of Traditional and Robust Least Mean Square Algorithm Under the Environment of Outliers[J].Journal of Shenzhen University Science and Engineering,1992,(1-2):81-90.
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奇异噪声环境下传统与稳健LMS算法的性能研究()
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《深圳大学学报理工版》[ISSN:1000-2618/CN:44-1401/N]

卷:
期数:
1992年1-2期
页码:
81-90
栏目:
环境与能源
出版日期:
1992-06-30

文章信息/Info

Title:
The Performance Study of Traditional and Robust Least Mean Square Algorithm Under the Environment of Outliers
作者:
吴墀衍1; 郑政谋2
（1）深圳大学电脑中心； （2）西北工业大学
Author(s):
Wu Chiyan1; Zheng Zhengmou2
（1）computer center of Shenzhen University; （2）Northwestern Polytechnical University
关键词:
稳健估计;  刻度参数;  稳健LMS算法
Keywords:
Robust Estimation; Scale Factor; Robust LMS Algorithm
摘要:
本文依据稳健估计理论,就奇异噪声(Outliers)对传统LMS(Least Mean Square)算法的危害进行了定性分析,并给出了稳健的LMS算法.
Abstract:
That the outliers raise havoe with the algorithm of traditional least mean square(LMS)has been analyzed qualitatively based on the robust estimation theory and the robust least mean square algorithm is also given in this paper.
更新日期/Last Update: 2016-05-10