Blind Separation Based on Improved Fixed-point ICA Learning Algorithm

Signals were separated through Independent Component Analysis(ICA) based on independences of the observed signal.Fixed-point independent Component Analysis algorithm is widely used nowadays.Considering complexity,diversity and much information of figure signal,an improved Fast ICA algorithm was used to separate the image signal,overcoming the large amount of calculation and the slow convergence of Fixed ICA algorithm.Some experiments were done with random images and achieved the stability of the results.