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Gamma自适应滤波器及其最小均方误差训练方法
引用本文:罗忠,谢永斌.Gamma自适应滤波器及其最小均方误差训练方法[J].测试技术学报,1997,11(4):1-6.
作者姓名:罗忠  谢永斌
作者单位:[1]中国科学院遥感应用研究所 [2]西安工业学院
摘    要:本文提出了一种新的自适应滤波器-Gamma滤波器及其基于最小均方程误差准则的训练方法,首先建立了最小均方误差准则下Gamma滤波器的Wiener-Hopf方程,然后分别提出了3种训练算法:(1)新斯-牛顿算法;(2)确定性梯度算法;(3)LMS算法。最后给出Gamma滤波器在随机信号预测中的应用和仿真结果。

关 键 词:滤波器  最小均方误差  自适应滤波器

THE GAMMA ADAPTIVE FILTER AND ITS MINIMUM-MEAN-SQUARE-ERROR CRITERION-BASED TRAINING METHODS
Luo Zhong.THE GAMMA ADAPTIVE FILTER AND ITS MINIMUM-MEAN-SQUARE-ERROR CRITERION-BASED TRAINING METHODS[J].Journal of Test and Measurement Techol,1997,11(4):1-6.
Authors:Luo Zhong
Abstract:A new adaptive filter--the Gamma filter and its minimum-mean- suare-error criterion-based training methods are presented. We first derive the Wiener-Hopf equations for the Gamma filter using the minimum-mean-square-er-ror criterion, and then develop three methods for training the Gamma filter: (1) Gauss-Newton method; (2) deterministic gradient descent method; (3) the LMS method. Finally the application of the Gamma filter to random signal prediction and the corresponding simulation results are given.
Keywords:the Gamma filter  minimum-mean-square-error  the wiener-hopf e-quations
本文献已被 CNKI 维普 等数据库收录!
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