Independent component analysis
id:
independent-component-analysis-179-6852181
title:
Independent component analysis
text:
In signal processing, independent component analysis (ICA) is a computational method for separating a multivariate signal into additive subcomponents. This is done by assuming that at most one subcomponent is Gaussian and that the subcomponents are statistically independent from each other. ICA was invented by Jeanny Hérault and Christian Jutten in 1985. ICA is a special case of blind source separation. A common example application of ICA is the "cocktail party problem" of listening in on one pe
brand slug:
wiki
category slug:
encyclopedia
description:
Signal processing computational method
original url:
https://en.wikipedia.org/wiki/Independent_component_analysis
date created:
2004-04-15T12:36:21Z
date modified:
2024-09-04T21:29:55Z
main entity:
{"identifier":"Q1259145","url":"https://www.wikidata.org/entity/Q1259145"}
image:
fields total:
13
integrity:
15