Independent Component Analysis
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Independent Component Analysis(ICA) is one of the methods for solving blind source separation in blind signal processing. This method seeks for a linear coordinate system to produce signals that are mutually statistically independent. Compared with Principal Component Analysis (PCA) based on correlation transform, ICA decorrelates signals and reduces the correlation in higher-order statistics. The existing blind processing algorithms are mainly based on ICA and will be unified to a certain extent through the research on ICA.
KeywordsProbability Density Function Mutual Information Independent Component Analysis Independent Component Analysis Blind Source Separation
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