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基于小波神经网络的非线性噪声对消
引用本文:刘千里.基于小波神经网络的非线性噪声对消[J].电子设计工程,2012,20(7):38-40.
作者姓名:刘千里
作者单位:海军驻武汉四三八厂军事代表室,湖北武汉,430060
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。

关 键 词:小波神经网络  噪声对消  非线性噪声  参考噪声  信噪比

Non-linear noise canceller based on wavelet neural network
LIU Qian-li.Non-linear noise canceller based on wavelet neural network[J].Electronic Design Engineering,2012,20(7):38-40.
Authors:LIU Qian-li
Affiliation:LIU Qian-li(Navy Military Representative Office in Wuhan 438 Factory,Wuhan 430060,China)
Abstract: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.
Keywords:wavelet neural network  noise cancel  nonlinear noise  reference noise  SNR
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