Time-Frequency Analysis Based on Matching Pursuit and Its Application on Epilepsy
Wuyang Xiao, Xuyuan Zheng, Zhen Wang, Donghua Ma · 2012
Since the matching pursuit algorithm has good parametric characterization in signal decomposition, this paper considers the application of matching pursuit to describing the EEG's time-frequency distribution. Compared with other methods such as short time Fourier transform and Wigner-Ville distribution, matching pursuit algorithm can get a better result. It was also found that significant difference exist between normal EEG and epilepsy EEG's time-frequency distribution.