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Blind source separation: classification and frontiers

LI Xiao-jun1;ZHU Xiao-long2;ZHANG Xian-da2

  

  1. (1. Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an 710071, China;
    2. State Key Lab. of Intelligent Technology and Systems, Dept. of Automation, Tsinghua Univ., Beijing 100084, China)
  • Received:1900-01-01 Revised:1900-01-01 Online:2004-06-20 Published:2004-06-20

Abstract: By researching into the new development of BSS, this paper is dedicated to the classification of the BSS algorithms and the researching frame of BSS, together with getting the crucial optimal criteria of BSS, and introducing the contrast function theory, the local stability condition and the performance indices. Finally, the frontiers in the research of BSS are also presented.

Key words: blind source separation(BSS), independent component analysis(ICA), optimized criteria, performance index

CLC Number: 

  • TN911.23