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 soul of me is very selfish. I have gone my way after a fashion that made me the center of the plan. And you who are so individual, who are so independent a spirit, whose soul is also a kingdom, have been so loyal, so forgiving, so self-sacrificing in your willingness to live my life. Nothing but love cold have accomplished so wonderful a thing.”
—Woodrow Wilson (1856–1924)
“... 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)
“The spider-mind acquires a faculty of memory, and, with it, a singular skill of analysis and synthesis, taking apart and putting together in different relations the meshes of its trap. Man had in the beginning no power of analysis or synthesis approaching that of the spider, or even of the honey-bee; but he had acute sensibility to the higher forces.”
—Henry Brooks Adams (1838–1918)