%0 Journal Article
%T A Weak-Signal Separation Algorithm Based on Extended Alternating Projection Neural Networks<br>一种基于扩展交替投影神经网络的弱信号分离方法研究
%A WANG Jin-Gen CHEN Shi-Fu GONG Shen-Guang CHEN Zhao-Qian
%A <br>王金根
%A 陈世福
%A 龚沈光
%A 陈兆乾
%J 计算机科学
%D 2003
%I 
%X Aiming at a kind of specific situation encountered in practice, the paper proposes a weak-signal separation algorithm based on Extended Alternating Projection Neural Networks (EAPNN) by combining the time-domain features of the signal with the frequency-domain features of the signal and taking advantage of conclusions on EAPNN. Simulation results demonstrate that the algorithm is effective and that the EAPNN-based signal separation algorithm is better than the RLS-based signal separation algorithm. Although the EAPNN-based algorithm is designed for the specific situation, it is also applicable to the other situations and a basic frame of the EAPNN-based signal separation is presented. Owing to adopting neural network structure, the EAPNN-based algorithm is prone to parallel computation and VLSI design, consequently can satisfy real-time processing needs.
%K Alternating projection
%K Neural networks
%K Signal processing
%K Signal separation
%K Signal detection<br>弱信号分离方法
%K 信号序列
%K 交替投影神经网络
%K 信号处理
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=4CC6B555061E6006&yid=D43C4A19B2EE3C0A&vid=340AC2BF8E7AB4FD&iid=F3090AE9B60B7ED1&sid=0401E2DB1F51F8DE&eid=5C3443B19473A746&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=5