2010Modern Electronics TechniqueRequires access

Blind Source Separation Based on Independent Component Analysis

Huaiwen Wang

Open publisher page 0 citations

Abstract

Independent component analysis(ICA) is a signal analysis method based on high order cumulants,and is closely related to blind source separation.The basic concept and criterion of ICA are introduced,the current popular algorithms are analyzed and summarized,and the future development of ICA is proposed.

About this research paper

What this paper is about

Independent component analysis(ICA) is a signal analysis method based on high order cumulants,and is closely related to blind source separation.The basic concept and criterion of ICA are introduced,the current popular algorithms are analyzed and summarized,and the future development of ICA is proposed.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Independent component analysis(ICA) is a signal analysis method based on high order cumulants,and is closely related to blind source separation.The basic concept and criterion of ICA are introduced,the current popular algorithms are analyzed and summarized,and the future development of ICA is proposed.

Key concepts: Independent component analysis, Blind signal separation, Cumulant, Computer science, Component (thermodynamics), Source separation, Higher-order statistics, Separation (statistics)

Related papers

Back to paper searchBrowse research topicsOriginal source
Blind Source Separation Based on Independent Component Analysis — Research Paper | ScholarLens