A modified S-transform for EEG signals analysis

Al-Manie, M A and Wang, W J (2015) A modified S-transform for EEG signals analysis. International Journal of Computational Methods, 12 (3). ISSN 0219-8762

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Abstract

Due to the advantages offered by the S-transform (ST) distribution, it has been recently successfully implemented for various applications such as seismic and image processing. The desirable properties of the ST include a globally referenced phase as the case with the short time Fourier transform (STFT) while offering a higher spectral resolution as the wavelet transform (WT). However, this estimator suffers from some inherent disadvantages seen as poor energy concentration with higher frequencies. In order to improve the performance of the distribution, a modification to the existing technique is proposed. Additional parameters are proposed to control the window's width which can greatly enhance the signal representation in the time–frequency plane. The new estimator's performance is evaluated using synthetic signals as well as biomedical data. The required features of the ST which include invertability and phase information are still preserved.

Item Type: Article
Schools and Departments: School of Engineering and Informatics > Engineering and Design
Research Centres and Groups: Dynamics, Control and Vehicle Research Group
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Related URLs:
Depositing User: William Wang
Date Deposited: 02 Jan 2018 10:50
Last Modified: 02 Jan 2018 10:50
URI: http://sro.sussex.ac.uk/id/eprint/72461
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