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基于神经网络的非线性自适应除噪研究
引用本文:张子敬.基于神经网络的非线性自适应除噪研究[J].西安理工大学学报,1997,13(4):389-394.
作者姓名:张子敬
作者单位:西安电子科技大学电子工程研究所!西安,710071,上海交通大学,西安理工大学
摘    要:提出一种适用于非线性自适应除噪(ANC)的神经网络方法。当参考通道中的噪声是主通道噪声的非线性变换时,采用线性ANC往往效果不好,此时应采用非线性ANC。由于径向基函数网络具有良好的非线性函数逼近性能,因而可采用基于径向基函数网络的非线性自适应除噪。模拟结果表明,这种方法具有明显的抑制噪声能力。

关 键 词:非线性滤波  自适应除噪  神经网络

Research on Nonlinear ANC Based on Neural Networks
Zhang Zijing, Zhang Ziyu, Zhang Guangzheng.Research on Nonlinear ANC Based on Neural Networks[J].Journal of Xi'an University of Technology,1997,13(4):389-394.
Authors:Zhang Zijing  Zhang Ziyu  Zhang Guangzheng
Abstract:This paper presents a kind of neural networks method which is suitable for nonlinearANC While the reference noise is the nonlinear transform of the primary noise, the effect ofANC is usually poor if linear ANC is applied. In this case, nonlinear ANC shou1d be used. SinceRBFN's good performance in approximating nonlinear function, nonlinear ANC bascd on RBFNcan be used. Simulaton results show that the metnod can greatly reduce noisc.
Keywords:nonlinear filtering adaptive noise cancelling neural networks
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