The Comparison and Study of WVD, PWVD, SPWVD Time Frequency Analysis Technologies Based on Observed Dynamic EEG Data

Abstract

For the observed EEG data under +Gz acceleration, the traditional Fourier transformation can not express the change regularity of EEG frequency spectrum characteristic with time, so it is tried to make data treatment with the help of analysis tool of WVD. Through the theory comparison on WVD, PWVD and SPWVD-this three analysis methods and the comparison analysis on the application results of the actually measured EEG data under centrifuge +Gz acceleration, the respective advantage and disadvantage of the three methods is studied, and SPWVD is found to be relatively a better analysis method. It can eliminate effectively crossing term interference which is innate for quadratic form distribution and has better focusing characteristic, and can better reflect the state of EEG under different G acceleration and frequency spectrum change characteristic.