%0 Journal Article
%T A New Algorithm of ICA: Using the Parametrized Orthogonal Matrixes of Any Dimensions<br>利用参数表示任意维数正交矩阵的ICA新算法
%A TANG Ying
%A LI Jian-Ping
%A <br>汤影
%A 李建平
%J 自动化学报
%D 2008
%I 
%X In independent component analysis(ICA)problems,it is the key to find an orthogonal matrix to throw away high-order redundancy between components.Orthogonal matrixes have special structures in which row vectors of them can be seen as vectors perpendicular to each other on N-sphere.A parametrization method of all the matrices of any dimensions is proposed and the completeness of the parametric presentation is proven.Further,a theoretical analysis is made for randomicity.We use genetic algorithm(GA)in searching of the optimized separating matrix.Finally,some numerical simulation results are given.
%K Independent component analysis(ICA)
%K orthogonal matrix
%K random matrix
%K N-sphere
%K genetic algorithm(GA)
%K OICA<br>独立分量分析(ICA)
%K 正交矩阵
%K 随机矩阵
%K N维超球
%K 遗传算法(GA)，OICA
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=E9B657EB21407977F5401B6BD0AE6E40&yid=67289AFF6305E306&vid=339D79302DF62549&iid=CA4FD0336C81A37A&sid=4AD960B5AD2D111A&eid=7C3A4C1EE6A45749&journal_id=0254-4156&journal_name=自动化学报&referenced_num=0&reference_num=14