%0 Journal Article %1 IJACSA.2010.010501 %A weixiong Zhang xizheng Yin ling, Wang %D 2010 %J International Journal of Advanced Computer Science and Applications(IJACSA) %K analysis, de-noising., time-frequency transform,EEG wavelet %N 5 %T Wavelet Time-frequency Analysis of Electro-encephalogram (EEG) Processing %U http://ijacsa.thesai.org/ %V 1 %X 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.

@article{IJACSA.2010.010501, 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. }, added-at = {2014-02-21T08:00:08.000+0100}, author = {weixiong {Zhang xizheng Yin ling}, Wang}, biburl = {https://www.bibsonomy.org/bibtex/2883be7fda97247831dab33b77a6230a5/thesaiorg}, interhash = {54b3c9c791b9d75e3990c9a8e32f9765}, intrahash = {883be7fda97247831dab33b77a6230a5}, journal = {International Journal of Advanced Computer Science and Applications(IJACSA)}, keywords = {analysis, de-noising., time-frequency transform,EEG wavelet}, number = 5, timestamp = {2014-02-21T08:00:08.000+0100}, title = {{Wavelet Time-frequency Analysis of Electro-encephalogram (EEG) Processing}}, url = {http://ijacsa.thesai.org/}, volume = 1, year = 2010 }