Title :
Time-Frequency Analysis Based on Matching Pursuit and Its Application on Epilepsy
Author :
Xiao, Wuyang ; Zheng, Xuyuan ; Wang, Zhen ; Ma, Donghua
Author_Institution :
Sch. of Biomed. Eng., Tianjin Med. Univ., Tianjin, China
Abstract :
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.
Keywords :
Fourier transforms; diseases; electroencephalography; medical signal processing; time-frequency analysis; EEG time-frequency distribution; Wigner-Ville distribution; epilepsy; matching pursuit algorithm; short time Fourier transforms; signal decomposition; time-frequency analysis; Algorithm design and analysis; Electroencephalography; Epilepsy; Fourier transforms; Matching pursuit algorithms; Signal processing algorithms; Time frequency analysis;
Conference_Titel :
Engineering and Technology (S-CET), 2012 Spring Congress on
Conference_Location :
Xian
Print_ISBN :
978-1-4577-1965-3
DOI :
10.1109/SCET.2012.6342123
