Journal of Guangdong University of Technology ›› 2010, Vol. 27 ›› Issue (3): 72-75.

• Comprehensive Studies • Previous Articles     Next Articles

The Design and Implementation of the Noise Suppression Algorithm with Wavelet Transformation for EEG Signals

  

  1. Faculty of Automation，Guangdong University of Technology，Guangzhou 510006，China
  • Online:2010-09-25 Published:2010-09-25

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Abstract: Two noise suppression algorithms，which are based on Fast Fourier with windows function and wavelet transformation respectively，are comparatively analyzed for EEG signals．The results show that the noise suppression algorithm with wavelets can deal with various types of low-fequency noise．The conclusion is verifide by simulation results．

Key words: electroencephalogram(EEG)；noise remove；Fast Fourier Transformation；Wavelet Transformation；adaptive filtering

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