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.
%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
}