title: [An EMD based time-frequency distribution and its application in EEG analysis].
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.
authors.affiliation: Department of Electronic Engineering, Dalian University of Technology, Dalian 116024, China.
authors.forename: Xiaobing
authors.initials: X
authors.lastname: Li
authors.forename: Meng
authors.initials: M
authors.lastname: Chu
authors.forename: Tianshuang
authors.initials: T
authors.lastname: Qiu
authors.forename: Haiping
authors.initials: H
authors.lastname: Bao
mesh_terms: D000465:Algorithms; D004569:Electroencephalography / Q000379:methods*; D004827:Epilepsy / Q000503:physiopathology*; D006801:Humans; D017711:Nonlinear Dynamics; D012815:Signal Processing, Computer-Assisted