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文章基本信息

  • 标题:Wavelet Time-frequency Analysis of Electro-encephalogram (EEG) Processing
  • 本地全文:下载
  • 作者:Zhang xizheng ; Yin ling ; Wang weixiong
  • 期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
  • 印刷版ISSN:2158-107X
  • 电子版ISSN:2156-5570
  • 出版年度:2010
  • 卷号:1
  • 期号:5
  • DOI:10.14569/IJACSA.2010.010501
  • 出版社:Science and Information Society (SAI)
  • 摘要:This paper proposes time-frequency analysis of EEG spectrum and wavelet analysis in EEG de-noising. In this paper, the basic idea is to use the characteristics of multi-scale multi-resolution, using four different thresholds to wipe off interference and noise after decomposition of the EEG signals. By analyzing the results, understanding the effects of four different methods, it comes to a conclusion that the wavelet de-noising and soft threshold is a better conclusion.
  • 关键词:thesai; IJACSA; thesai.org; journal; IJACSA papers; EEG; time-frequency analysis; wavelet transform; de-noising.
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