Title: Study on Speech Separation and Image Separation Based on FastICA
Abstract: Independent Component Analysis(ICA) based on the higher-order statistics of signals,can separate source signals which are both statistically independent and non-Gaussian from the mixing signals.The fixed-point algorithm,also called FastICA,has fast convergence rate and good separation result,so it can be widely used in the signal processing.In this paper,the basic model of ICA and the principle of the FastICA algorithm are introduced.And then the simulation experiments on separating the mixing speech signals and mixing image signals were made.Based on the experimental results,it comes to the conclusion that the FastICA algorithm has good separation performance when it applied to speech separation or image separation.
Publication Year: 2009
Publication Date: 2009-01-01
Language: en
Type: article
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