A New FastICA Algorithm of Newtons Iteration

摘要：

This paper introduces the basic theory of ICA and the FastICA algorithm.In order to increase the algorithm convergence rate and reduce the running time,the paper which is based on FastICA algorithm proposes an improved independent component analysis algorithm with Newtons iteration-the Newton Type iteration algorithm with third-order convergence.The simulation results of the image signal separation show that the improved algorithm have the same separate effect as conventional FastICA algorithm and can reduce the times of iterations.

关键词： Independent component analysis FastICA algorithm Newton Type iteration method Negentropy

作者: Ji Ce Yu Yang Yu Peng

作者单位: Department of Information Science and Engineering Northeast University Shenyang,Liaoning Province,China

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Education Technology and Computer(第二届IEEE教育技术与计算机国际会议 ICETC 2010)

会议地点: 上海

会议语种:英文

页码: 481-484

在线出版日期: 2010-06-22（万方平台首次上网日期，不代表论文的发表时间）