期刊文献+

独立成分分析方法的研究及应用 被引量:4

Research on Independent Component Analysis and Its Application
下载PDF
导出
摘要 独立成分分析法(ICA)是近几年发展起来的一种新的信号分离方法。本文介绍了ICA的定义、基本原理及几种主要算法及其相互关系,并进一步讨论了ICA在各个领域的应用。 The independent component analysis (ICA) is a new method of signal separation which is developing in these years. In this paper, we introduce the definition, the principle and the algorithm. Then, we discuss the application of ICA in various area.
作者 刘洋 吴新杰
出处 《沈阳教育学院学报》 2006年第1期125-126,共2页 Journal of Shenyang College of Education
关键词 独立成分分析 盲源信号分离 主成分分析 ICA blind source separation PCA
  • 相关文献

参考文献2

二级参考文献30

  • 1孙即祥.数字图像处理[M].石家庄:河北教育出版社,1993..
  • 2焦李成.神经网络的应用与实现[M].西安:西安电子科技大学出版社,1996..
  • 3[1]Jutten C, Herault J. Blind separation of source, Part I: An adaptive algorithm based on neuromimetic architecture. SP, 1991, 33∶1
  • 4[3]Xu Y, Yao DZ. A new method for extracting characteristic signal in epileptic EEG. Chinese Journal of Biomedical Engineering(English version), 1999; 8∶41
  • 5[4]Kobayashi K, James CJ, Nakahori T, et al. Isolation of epleptiform discharges from unaverged EEG by independent component analysis. Clinical Neurophysiology, 1999; 110∶1755
  • 6[5]Lee TW, Grolami M, Jbell A, et al. A unifying information-theoretic framework for independent component analysis. Computer and Mathematic with Application. 2000;39∶1
  • 7[6]Comon P. Independent component analysis, a new concept? SP, 1994; 36∶287
  • 8[7]Bell AJ, Sejnowski J. An information maximization approach to blind separation and deconvolution. Neural Comp, 1995; 7∶1129
  • 9[8]Cardoso JF. Infomax and maximum likelihood for blind source separation. IEEE SP Letter, 1997; 4∶112
  • 10[10]Karhunen J, Oja E, Wang L, et al. A Class of neural networks for Independent component analysis. IEEE Trans NN, 1997, 8∶486-503

共引文献158

同被引文献35

引证文献4

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部