Independent component analysis (ICA) is a computational method for separating a multivariate signal into additive subcomponents supposing the mutual statistical independence of the non-Gaussian source signals. It is a special case of blind source separation.
Read more about Independent Component Analysis: Introduction, Defining Component Independence, Mathematical Definitions, Binary Independent Component Analysis
Famous quotes containing the words independent, component and/or analysis:
“[My father] was a lazy man. It was the days of independent incomes, and if you had an independent income you didn’t work. You weren’t expected to. I strongly suspect that my father would not have been particularly good at working anyway. He left our house in Torquay every morning and went to his club. He returned, in a cab, for lunch, and in the afternoon went back to the club, played whist all afternoon, and returned to the house in time to dress for dinner.”
—Agatha Christie (1891–1976)
“... no one knows anything about a strike until he has seen it break down into its component parts of human beings.”
—Mary Heaton Vorse (1874–1966)
“Ask anyone committed to Marxist analysis how many angels on the head of a pin, and you will be asked in return to never mind the angels, tell me who controls the production of pins.”
—Joan Didion (b. 1934)