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非高斯噪声背景下的自适应信号提取方法研究
引用本文:肖瑛,董玉华.非高斯噪声背景下的自适应信号提取方法研究[J].大连民族学院学报,2008,10(1):38-40.
作者姓名:肖瑛  董玉华
作者单位:大连民族学院,机电信息工程学院,辽宁,大连,116600
基金项目:大连民族学院人才引进资助项目(20066105)
摘    要:为实现对非高斯背景噪声干扰条件下用信号的提取,将BP神经网络作为自适应噪声对消滤波器,以与干扰噪声强相关的噪声源作为参考噪声,实现对背景噪声的抑制,达到了有用信号提取的目的。BP神经网络自适应噪声对消技术不仅适用于线性相关参考噪声,同时也适用于非线性相关参考噪声,可以有效提高信号传递和接收的信噪比。

关 键 词:BP神经网络  噪声对消  信噪比
文章编号:1009-315X(2008)01-0038-03
收稿时间:2007-04-10
修稿时间:2007年4月10日

Study on Adaptive Signal Pick-up under Non-Gauss Noise
XIAO Ying,DONG Yu-hua.Study on Adaptive Signal Pick-up under Non-Gauss Noise[J].Journal of Dalian Nationalities University,2008,10(1):38-40.
Authors:XIAO Ying  DONG Yu-hua
Institution:XIAO Ying, DONG Yu- hua (College of Eleetromeehanieal & Information Engineering, Dalian Nationalities University,Dalian Liaoning 116605, China)
Abstract:In order to implement the self-adapted pick-up signal interfered by non-Gauss noise,we use the BP neural network as noise cancellation filter,interfered noise was strongly interrelated with the resource of noise as reference noise in order to control the background noise.The BP neural network self-adapted noise cancellation can be used not only in linear interrelated noise,but also in non-linear interrelated noise.By this means,the quality of signal-to-noise ratio can be effectively improved in the process of signal transmitting and receiving.
Keywords:BP neural network  noise cancellation  signal-to-noise
本文献已被 CNKI 维普 万方数据 等数据库收录!
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