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GLMS系列算法和时变信号模型的自适应处理
引用本文:刘世忠.GLMS系列算法和时变信号模型的自适应处理[J].四川大学学报(自然科学版),1991(3).
作者姓名:刘世忠
作者单位:四川大学无线电电子学系
摘    要:提出了具有指数数据窗的GLMS算法和近似GLMS算法.分析和计算证明,两算法不仅具有较高的起始收敛速度,而且还有较强的跟踪能力和小的失调量,适用于时变和非时变信号模型的自适应处理.

关 键 词:自适应算法  自适应滤波器  预测滤波器  时变信号模型

A TYPE OF GLMS ALGORITHMS AND ADAPTIVE PROCESSING FOR THE TIME-VARYING SIGNAL MODEL
Liu Shizhong.A TYPE OF GLMS ALGORITHMS AND ADAPTIVE PROCESSING FOR THE TIME-VARYING SIGNAL MODEL[J].Journal of Sichuan University (Natural Science Edition),1991(3).
Authors:Liu Shizhong
Institution:Dept. of Radio Electronics
Abstract:Based on the GLMS (Generalized LMS) algorithm1], a new GLMS and an approximate GLMS algorithms with exponential data window are presented in this paper. These algorithms have not only a very high begining covergence speed, but also a better tracking ability and lower misadjustment. They can be applied to adaptive processing for time-varying and time invariant signal models. These results are confirmed by theoretical analysis and computer simulations.
Keywords:adaptive algorithm  adaptive filter  predication filter  time varying signal model  
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