Blind Source Separation Based on FastICA Algorithm

ICA has been a primary method solving BSS in recent years,and aroused more and more concern,so discuss the principle and superiority.In this paper,introduce ICA and FastICA algorithm firstly,then analyze simulation result by FastICA,gradient algorithm and PCA.Through verification,absolute value of correlation coefficient between separation signals and source signals is not less than 0.99.Compared with other algorithms,conclude FastICA is a more effective algorithm.