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Nonlinear innovation to noisy blind source separation based on gaussian moments

  • Hongjuan Zhang*
  • , Chonghui Guo
  • , Zhenwei Shi
  • , Enmin Feng
  • *此作品的通讯作者
  • Dalian University of Technology

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

This paper addresses blind source separation problem for noisy data based on the concepts of nonlinear innovation and Gaussian moments. An objective function which incorporates Gaussian moments and the nonlinear innovation of original sources is developed. Minimizing this objective function, a noisy blind source separation algorithm is proposed when the noise covariance is known and source signals are nonstationary in the sense that the variance of each is assumed to change smoothly as a function of time. In addition, this method is further extended to the case of noise covariance unknown. Validity and performance of the described approaches are demonstrated by computer simulations.

源语言英语
主期刊名Advanced Intelligent Computing Theories and Applications
主期刊副标题With Aspects of Artificial Intelligence - 4th International Conference on Intelligent Computing, ICIC 2008, Proceedings
页709-716
页数8
DOI
出版状态已出版 - 2008
活动4th International Conference on Intelligent Computing, ICIC 2008 - Shanghai, 中国
期限: 15 9月 2008 → 18 9月 2008

丛书

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
卷5227 LNAI
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议4th International Conference on Intelligent Computing, ICIC 2008
国家/地区中国
市Shanghai
时期15/09/08 → 18/09/08

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