%0 Journal Article
%T One-Unit Fixed-Point Complex-valued ICA-R Algorithm Using Magnitude Information<br>一种应用幅值信息的一单元定点复数ICA-R算法
%A Li Jing Lin Qiu-hua
%A <br>李镜
%A 林秋华
%J 电子与信息学报
%D 2008
%I 
%X Independent Component Analysis with Reference (ICA-R) extracts only desired signals by incorporating prior information as reference signals. It can provide output signals with definite order and improved performance. However, no ICA-R algorithm in complex domain has been reported till now. Motivated by the fact that the magnitude information of a complex-valued signal is readily obtained, this paper proposes a fixed-point complex-valued ICA-R algorithm to extract a desired signal by utilizing its magnitude information in the framework of constrained ICA. Specifically, the complex ICA-R is formulated as maximizing the contrast function of a blind complex fastICA algorithm under an inequality constraint corresponding to the magnitude information, the augmented Lagrangian function and Kuhn-Tucker conditions are then used to derive the fixed-point algorithm. The results of computer simulations and performance analysis demonstrate that the complex-valued ICA-R algorithm outperforms the blind complex fastICA algorithm by virtue of incorporation of magnitude information.
%K Independent component analysis with reference
%K Independent component analysis
%K Semi-blind source separation
%K Complex-valued signal
%K Reference signal<br>参考独立分量分析
%K 独立分量分析
%K 半盲分离
%K 复数信号
%K 参考信号
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=574CEDA6D16D687974F58E7A800FDC22&yid=67289AFF6305E306&vid=340AC2BF8E7AB4FD&iid=708DD6B15D2464E8&sid=F5D0A1CC082636E5&eid=E8DEC1A5DEE63AD8&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=15