Journal of South China University of Technology(Natural Science Edition) ›› 2012, Vol. 40 ›› Issue (11): 1-12.

• Review & Feature Article •     Next Articles

Independent Component Analysis and Its Application to Signal Processing

Yang Jun-mei  Yu Hua  Wei Gang   

  1. School of Electronic and Information Engineering,South China University of Technology,Guangzhou 510640,Guangdong,China
  • Received:2012-08-01 Revised:2012-08-28 Online:2012-11-25 Published:2012-10-01
  • Contact: 杨俊美(1979-) ，女，讲师，主要从事系统辨识、自适应信号处理等研究． E-mail:yjunmei@scut.edu.cn
  • About author:杨俊美(1979-) ，女，讲师，主要从事系统辨识、自适应信号处理等研究．
  • Supported by:

    国家自然科学基金资助项目( 61004054， 61071212) ; 华南理工大学中央高校基本科研业务费专项资金资助项目( 2012ZZ0028)

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Abstract:

As a new statistical processing technique for multidimensional signals recently developing from blind source separation,independent component analysis ( ICA) can recover latent independent sources from measured mixed data according to the basic statistical features of the sources,so that it has been successfully applied to many signal processing-related fields. In this paper,after briefly introducing the basic concept,principle and independent criteria of ICA,the authors put their emphases on the practical applications of ICA to such fields as speech signal processing,image processing and wireless communication,and then,based on their research results,they sum up the research progress and development direction of ICA.

Key words: signal processing, independent component analysis, blind source separation, higher-order statistics

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