径向基网络的主动噪声控制系统

An Active Noise Control System Based on Neural Network of Radial Basic Function

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 .

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.