Gradient Algorithm for Sequential Extraction of Independent Component Based on Kurtosis
Cui Qun-feng · Journal of Wuhan Institute of Technology · 2009
Independent component analysis is an effective technology for blind source separation and feature extraction,and has been successfully applied to a wide range of researches.Firstly,the principle and realization of independent component analysis are briefly introduced in the paper.Then we put forward a gradient algorithm for sequential extraction of independent component based on kurtosis.The algorithm integrates the merits of the fast fixed-point algorithm and the natural gradient algorithm based on maximum likelihood estimation.We compile the corresponding calculation program and conduct a simulation experiment.The results have shown that this algorithm has good convergence and separation effect when the source signals could meet with the prerequisite for independent component analysis.