Adaptive Blind source Separation with Dynamical Changing Source Number

摘要：

　　Analyzed the reason why the overdetermined blind signal separation of natural gradient algorithm ultimate not stably converge,constructed an adaptive blind separation algorithm suitable for dynamically changing source number.The new algorithm not only overcomes the shortcoming of eventually not stable convergence,but it also need not to delete the redundancies according to the correlation of the output components,which greatly simplifies the computational complexity of the algorithm.Randomly reduce or increase the number of source signals is still able to achieve a better separation effect,simulation results demonstrate the convergence of the algorithm and its effectiveness for blind source separation.

关键词： number of source signals dynamical changes self-adaptation blind source separation

作者: Donghui Xu DongDong Yang HongGuang Ma Wenpu Guo Hui Li

作者单位: Xian Research Inst.Of Hi-Tech Hongqing Town,Xian,P.R.710025,China

会议类型: 国际会议

会议名称: 2013 2nd International Conference on Computer Science and Electronics Engineering(ICCSEE2013)(2013年第二届计算机科学与电子工程国际会议)

会议地点: 杭州

会议语种:英文

页码: 1201-1205

在线出版日期: 2013-03-22（万方平台首次上网日期，不代表论文的发表时间）