An EMD based time-frequency distribution and its application in EEG analysis / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 990-995, 2007.
Article
in Chinese
| WPRIM
| ID: wpr-346025
ABSTRACT
Hilbert-Huang transform (HHT) is a new time-frequency analytic method to analyze the nonlinear and the non-stationary signals. The key step of this method is the empirical mode decomposition (EMD), with which any complicated signal can be decomposed into a finite and small number of intrinsic mode functions (IMF). In this paper, a new EMD based method for suppressing the cross-term of Wigner-Ville distribution (WVD) is developed and is applied to analyze the epileptic EEG signals. The simulation data and analysis results show that the new method suppresses the cross-term of the WVD effectively with an excellent resolution.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Algorithms
/
Signal Processing, Computer-Assisted
/
Nonlinear Dynamics
/
Electroencephalography
/
Epilepsy
/
Methods
Limits:
Humans
Language:
Chinese
Journal:
Journal of Biomedical Engineering
Year:
2007
Type:
Article
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