%0 Journal Article
%T A Detection Algorithm of Robust Neural Network for Heavy-tailed Noise<br>一种针对拖尾噪声的鲁棒神经网络信号检测算法
%A Jian Tao
%A Su Feng
%A He You
%A Qu Chang-wen
%A Ping Dian-fa
%A <br>简涛
%A 苏峰
%A 何友
%A 曲长文
%A 平殿发
%J 电子与信息学报
%D 2007
%I 
%X Compared with Gaussian noise, Heavy-tailed noise has more outliers, and the traditional neural network can not suppress outliers. A new neural network based on median filter is proposed. After suppressing the outliers in signal through median filter, the BP (Back Propagation) is used and remained noise is eliminated further. The experiment based on the error analyses shows that compared with the traditional neural network, the proposed method can suppress heavy-tailed noise and detect target signal more effectively. It can perform well for both heavy-tailed noise and Gaussian noise background, which shows its robustness and adaptiveness.
%K Signal detection
%K Neural network
%K BP algorithm
%K Heavy-tailed noise
%K Median filter<br>信号检测
%K 神经网络
%K BP算法
%K 拖尾噪声
%K 中值滤波
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=B3A8212D55B29D0D&yid=A732AF04DDA03BB3&vid=771469D9D58C34FF&iid=5D311CA918CA9A03&sid=F393F687E70F258D&eid=C53252FC3FF27EAA&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=11