%0 Journal Article
%T Study of Chaotic Spread-Spectrum Sequences Based on Neural Networks<br>基于神经网络混沌扩频序列的研究
%A Liu Lian-hui
%A Shi Jun
%A Li Bai-ping
%A Wang Jian-xin
%A <br>刘联会
%A 石军
%A 李白萍
%A 王建新
%J 电子与信息学报
%D 2004
%I 
%X The chaos generation neural network based on the excellent learning ability and synaptic weight database are built to generate many chaotic spread-spectrum sequences trained by the modified back-propagation algorithm with various discrete chaotic time series. The chaotic sequences are very easily generated by changing weights of neural network model, and their number is large. The computer simulation results show that, the output chaotic sequences have good correlation property, balance property and linear complexity, therefore they are good candidates for the optimal encrypting code and the spread spectrum code.
%K Chaotic spread-spectrum sequences
%K Neural networks model
%K Correlation funetion
%K Linear complexity<br>混沌扩频序列
%K 神经网络模型
%K 相关函数
%K 线性复杂度
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=978A61921D8EA92F&yid=D0E58B75BFD8E51C&vid=96C778EE049EE47D&iid=CA4FD0336C81A37A&sid=205BE674D84A456D&eid=A8DE7703CC9E390F&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=2&reference_num=6