Independent Component Analysis

What Does Independent Component Analysis Mean?

Independent component analysis (ICA) is a way to get certain hidden information out of a signal. Experts define it as a “multivariate data model” that brings non-Gaussian and mutually independent elements out of a combined signal.


Techopedia Explains Independent Component Analysis

The process of independent component analysis can be applied to many different types of data sources. Generally, these are pulled together from independent sources into the group, as in the case of digital images, biofeedback information, radio signals or sound streams for microphones. Some experts talk about the “cocktail party problem” where analysts separate out a single voice in a crowd of people on the street. In these types of situations, the use of independent component analysis can be effective where other traditional methods are not.


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Margaret Rouse

Margaret Rouse is an award-winning technical writer and teacher known for her ability to explain complex technical subjects to a non-technical, business audience. Over the past twenty years her explanations have appeared on TechTarget websites and she's been cited as an authority in articles by the New York Times, Time Magazine, USA Today, ZDNet, PC Magazine and Discovery Magazine.Margaret's idea of a fun day is helping IT and business professionals learn to speak each other’s highly specialized languages. If you have a suggestion for a new definition or how to improve a technical explanation, please email Margaret or contact her…