| 采用归一化SG算法的自适应格型预测器 |
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| 引用本文： | 王光宇.采用归一化SG算法的自适应格型预测器[J].重庆邮电学院学报(自然科学版),1991(2). |
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| 作者姓名： | 王光宇 |
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| 作者单位： | 重庆邮电学院科研所 |
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| 摘 要： | 由于格型结构预测器所具有的优点,使它在许多自适应系统中得到了很好的应用。本文着重研究了采用归一化 SG 算法的自适应格型预测器。文中给出了归一化算法的推导,讨论了预测器系数的收敛特性以及格型预测器级数对预测器的影响。
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| 关 键 词： | 自适应格型预测器 随机梯度算法 收敛特性 |
Adaptive Lattice Predictor Adopting Normal Stochastic Gradient(SG)Algorithms |
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| Wang Guangyu.Adaptive Lattice Predictor Adopting Normal Stochastic Gradient(SG)Algorithms[J].Journal of Chongqing University of Posts and Telecommunications(Natural Sciences Edition),1991(2). |
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| Authors: | Wang Guangyu |
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| Institution: | Institute of research |
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| Abstract: | Because of good advantages,lattice peadictor has been applied in many ada- ptive systems.This paper mainly studies adaptive lattice predictor adopting normal stochastic gradient algorithm.This paper gives reasoning process of normal stochastic gradient,and discusses the convergence properties of predic- tor coefficient and the predictor properties affected by lattice predictor sta- ges. |
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| Keywords: | adaptive lattice predictor stochastic gradient algorithms convergence properties |
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