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奇异噪声环境下传统与稳健LMS算法的性能研究
引用本文: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(Z2).
作者姓名:吴墀衍  郑政谋
作者单位:深圳大学电脑中心,西北工业大学
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.

关 键 词:稳健估计  刻度参数  稳健LMS算法

The Performance Study of Traditional and Robust Least Mean Square Algorthm under the Environment of Outliers
Wu Chiyan.The Performance Study of Traditional and Robust Least Mean Square Algorthm under the Environment of Outliers[J].Journal of Shenzhen University(Science &engineering),1992(Z2).
Authors:Wu Chiyan
Affiliation:Wu Chiyan(Computer Center
Abstract:That the outliers raise havoe with the algorithm of traditional least mean square(LMS) has been analysed qualitatively based on the robust estimation theory and the robust least mean squar algorithm is also given in this paper.
Keywords:Robust Estimation  Scale Factor  Robust LMS Algorithm
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