Independent Component Analysis Matlab Code

Independent component analysis (ICA) is a computational method for separating a multivariate signal into additive subcomponents. This is done by assuming that the subcomponents are non-Gaussian signals and that they are statistically independent from each other. ICA is a special case of blind source separation. A common example application is the "cocktail party problem" of listening in on one person's speech in a noisy room.

The following matlab project contains the source code and matlab examples used for independent component analysis.

The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.

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