Efficient Algorithm Based on Blind Source Separation Independent Component Analysis Using Matlab
نویسندگان
چکیده
Independent component analysis is a lively field of research and is being utilized for its potential in statistically independent separation of images. ICA based algorithms has been used to extract interference and mixed images and a very rapid developed statistical method during last few years. So, in this paper an efficient result oriented algorithm for ICA-based blind source separation has been presented. In blind source separation primary goal is to recover all original images using the observed mixtures only. Independent Component Analysis (ICA) is based on higher order statistics aiming at penetrating for the components in the mixed signals that are statistically as independent from each other as achievable.
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