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.

Zhang xizheng, Yin ling and Wang weixiong, “Wavelet Time-frequency Analysis of Electro-encephalogram (EEG) Processing ” International Journal of Advanced Computer Science and Applications(IJACSA), 1(5), 2010. http://dx.doi.org/10.14569/IJACSA.2010.010501

@article{xizheng2010,
title = {Wavelet Time-frequency Analysis of Electro-encephalogram (EEG) Processing },
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2010.010501},
url = {http://dx.doi.org/10.14569/IJACSA.2010.010501},
year = {2010},
publisher = {The Science and Information Organization},
volume = {1},
number = {5},
author = {Zhang xizheng and Yin ling and Wang weixiong}
}