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径向基网络的主动噪声控制系统
引用本文:徐传忠,杨冠鲁.径向基网络的主动噪声控制系统[J].华侨大学学报(自然科学版),2004,25(2):200-202.
作者姓名:徐传忠  杨冠鲁
作者单位:华侨大学信息科学与工程学院,福建,泉州,362011;华侨大学信息科学与工程学院,福建,泉州,362011
摘    要:针对传统的LMS在信号处理中的不足,提出利用RBF网络实现自适应滤波,并将其应用于管道噪声控制.仿真结果表明,与LMS算法和WLMS算法相比,此方法具有良好的非线性噪声抑制能力.

关 键 词:主动噪声控制  径向基网络  归一化
文章编号:1000-5013(2004)02-0200-03

An Active Noise Control System Based on Neural Network of Radial Basic Function
Xu Chuanzhong,Yang Guanlu.An Active Noise Control System Based on Neural Network of Radial Basic Function[J].Journal of Huaqiao University(Natural Science),2004,25(2):200-202.
Authors:Xu Chuanzhong  Yang Guanlu
Abstract:Directing against the inadequacy of traditional least mean square (LMS) in signal processing, the authors suggest to use neural network of radial basic function (RBF) in realizing adaptive filtering and to apply it to noise control in channel. Comparing with LMS algorithm and WLMS algorithm, this method shows very good ability of inhibiling nonlinear noise, as indicated by simulation results.
Keywords:active noice control  radial basic function  normalization
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