A NEW INDEPENDENT COMPONENT ANALYSIS ALGORITHM BASED ON EXTENDED-NATURAL GRADIENT
In this paper, a new extended concept of directional derivative named extend-directional derivative, which is a reasonable extension of the conventional derivative, is induced based on the old counterpart Meanwhile, with this similar method, using this extension in BSS problems and ICA based algorithms, a new concept named extended-natural gradient, whose specific form depends on a translation function on the independent variable matrix, is brought forward to solve the puzzle we have been facing.With the assist of ICALAB software package, we conduct these new algorithms, observe the actual separation effect and analyze the performance and convergence rale of them, all of which are tested in MATLAB simulation environment The results show that, with proper translation function chosen, extended algorithm converges much faster than conventional natural gradient algorithm.No doubt this is a great improvement from the view of accelerate the execution of natural gradient algorithm, as well as in deeply research in the natural gradient algorithm itself and delivering new algorithms to solve the blind separation problems.
Extended-directional derivative Extended-natural gradient BSS ICA Matrix translation function
LEI LI FEI YAN FU-ZHENG ZHA LING-YE NIE
Nanjing University of Posts and Telecommunications, Nanjing 210003,P.R.China
国际会议
2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)
香港
英文
2416-2420
2007-08-19（万方平台首次上网日期，不代表论文的发表时间）