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A Simple and Accurate ICA Algorithm for Separating Mixtures of Up to Four Independent Components

TANG Ying LI Jian-Ping WU Huai

自动化学报2011,Vol.37Issue(7):794-799,6.
自动化学报2011,Vol.37Issue(7):794-799,6.DOI:10.3724/SP.J.1004.2011.00794

A Simple and Accurate ICA Algorithm for Separating Mixtures of Up to Four Independent Components

A Simple and Accurate ICA Algorithm for Separating Mixtures of Up to Four Independent Components

TANG Ying 1LI Jian-Ping 1WU Huai1

作者信息

  • 1. School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, P.R.China
  • 折叠

摘要

Abstract

This paper introduces an algorithm for independent component analysis (ICA) using explicit closed forms of two-,three-and four-dimensional antisymmetric matrix exponentials,based on which both the search direction and matrix exponentials can be directly computed in each iteration without any approximation.In addition,two errors have been corrected for the representation of four-dimensional antisymmetric matrix exponentials that were established in other works.Simulations show that the algorithm converges fast and can achieve better performance than the well-known Extended InfoMax and FastICA algorithms for mixtures of up to four independent components.

关键词

Independent component analysis (ICA)/matrix exponential/closed form/antisymmetric matrix

Key words

Independent component analysis (ICA)/matrix exponential/closed form/antisymmetric matrix

引用本文复制引用

TANG Ying,LI Jian-Ping,WU Huai..A Simple and Accurate ICA Algorithm for Separating Mixtures of Up to Four Independent Components[J].自动化学报,2011,37(7):794-799,6.

基金项目

Supported by National Natural Science Foundation of China (61003121),Multimodel Biometric Encryption and Its Implementation (January 2011~December 2013) (61003121)

自动化学报

OA北大核心CSCDCSTPCD

0254-4156

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