Independent Component Analysis

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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.

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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
Technology Specialist
Margaret Rouse
Technology Specialist

Margaret is an award-winning writer and educator known for her ability to explain complex technical topics to a non-technical business audience. Over the past twenty years, her IT definitions have been published by Que in an encyclopedia of technology terms and cited in articles in the New York Times, Time Magazine, USA Today, ZDNet, PC Magazine, and Discovery Magazine. She joined Techopedia in 2011. Margaret’s idea of ​​a fun day is to help IT and business professionals to learn to speak each other’s highly specialized languages.