A method of EEG time-frequency analysis based on the improved S-transform

被引：0

作者：

Zhang, Shaobai ^{[1
]}

Huang, Dandan ^{[1
]}

机构：

[1] Computer Department, Nanjing University of Posts and Telecommunications

来源：

Journal of Computational Information Systems | 2014年 / 10卷 / 01期

关键词：

Electroencephalography (EEG); S Transform; Time-frequency analysis; Wavelet transform;

D O I：

10.12733/jcis8645

中图分类号：

学科分类号：

摘要：

S-transform, which is a combination of short-time Fourier transform and wavelet transform, has attract intensive interest in recent years as an important tool to investigate non-stationary signal time-frequency distribution. S transform can be self-improved by the EEG characteristics to select a suitable mother wavelet. The improved S-transform will be used to analyze the time-frequency of the EEG characters. A comparison among the Short-time Fourier transform, wavelet transformation and the improved S-transform indicates that improved S-transform gives the best energy distribution in the time-frequency filed. Copyright © 2014 Binary Information Press.

引用

页码：145 / 151

页数：6

共 14 条

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