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:
“The ability to secure an independent livelihood and honorable employ suited to her education and capacities is the only true foundation of the social elevation of woman, even in the very highest classes of society. While she continues to be educated only to be somebody’s wife, and is left without any aim in life till that somebody either in love, or in pity, or in selfish regard at last grants her the opportunity, she can never be truly independent.”
—Catherine E. Beecher (1800–1878)
“... 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)
“Cubism had been an analysis of the object and an attempt to put it before us in its totality; both as analysis and as synthesis, it was a criticism of appearance. Surrealism transmuted the object, and suddenly a canvas became an apparition: a new figuration, a real transfiguration.”
—Octavio Paz (b. 1914)