Wavelet Time-frequency Analysis of Electro-encephalogram (EEG) Processing

Abstract

 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

Authors and Affiliations

Zhang xizheng, , Yin ling , Wang weixiong

Keywords

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  • EP ID EP150552
  • DOI -
  • Views 80
  • Downloads 0

How To Cite

Zhang xizheng, , Yin ling, Wang weixiong (2010).  Wavelet Time-frequency Analysis of Electro-encephalogram (EEG) Processing. International Journal of Advanced Computer Science & Applications, 1(5), 1-5. https://europub.co.uk./articles/-A-150552