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Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Wavelet Time-frequency Analysis of Electro-encephalogram (EEG) Processing
Digital Object Identifier (DOI) : 10.14569/IJACSA.2010.010501
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 1 Issue 5, 2010.
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.
Keywords: EEG, time-frequency analysis, wavelet transform, de-noising.
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}
}
