Independent Component Analysis separates the additive combination of multiple signals into their estimated components.

When a signal is additively composed of S independent sources and M >= S independent measurements of the signal are available, then the signal may be separated into estimated sources. The standard example is the "cocktail party problem," where recordings from M microphones are used to separate the speech signals of S party-goers talking simultaneously.