%0 Journal Article
%T Nonlinear Blind Source Separation Algorithm Using Multi-universe Parallel Quantum Genetic Algorithm<br>基于多宇宙并行量子遗传算法的非线性盲源分离算法研究
%A Yang Jun-an
%A Zou Yi
%A Zhuang Zhen-quan
%A <br>杨俊安
%A 邹谊
%A 庄镇泉
%J 电子与信息学报
%D 2004
%I 
%X This paper analyzes the model and algorithm of Nonlinear Blind Source Sepa-ration(NBSS) systematically, proposes a novel NBSS algorithm based on mutual cumulates, and puts forward a new optimum method using Multi-universe Parallel Quantum Genetic Algorithm(MPQGA). The simulation result demonstrates the effectiveness of the algorithm.
%K Nonlinear Blind Source Separation(NBSS)
%K Mutual cumulates
%K Quantum computation
%K Quantum genetic algorithm
%K Multi-universe Parallel Quantum Genetic Al-gorithm(MPQGA)<br>非线性盲源分离
%K 联合累积量
%K 量子计算
%K 量子遗传算法
%K 多宇宙并行量子遗传算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=9F810127896A10EC&yid=D0E58B75BFD8E51C&vid=96C778EE049EE47D&iid=5D311CA918CA9A03&sid=004AE5CF627F0ACA&eid=CBB937218406B640&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=4&reference_num=12