摘要
利用小波神经网络作为噪声对消滤波器,实现了参考噪声与干扰噪声呈非线性相关条件下的噪声对消。在参考噪声与干扰噪声非线性相关时,传统的横向滤波器效果不理想,利用小波神经网络的非线性特性,可更好的解决非线性噪声条件下的噪声对消问题。计算机仿真结果证明,小波神经网络噪声对消在非线性噪声条件可有效提高信噪比增益。
Wavelet neural network is acted as noise canceller to implement noise cancel under the condition of interference noise has nonlinear correlation to reference noise.If interference noise has nonlinear correlation to reference noise,the transversal filter has weak effect to cancel the noise in the signal.Wavelet neural network has nonlinear characteristic transfer and can solve this problem.Computer simulation results show that wavelet neural network noise canceller has better signal to noise gain for nonlinear noise.
出处
《电子设计工程》
2012年第7期38-40,共3页
Electronic Design Engineering
