Yanti, D.K. and Yusoff, M.Z. (2012) Subspace based spectral subtraction approach for visual evoked potential extraction. In: UNSPECIFIED.
Full text not available from this repository.Abstract
This paper presents the extraction of Visual Evoked Potential (VEP) signal from a noisy observation Electroencephalogram (EEG) signal. Subspace method has been used to extract VEP, mostly in the time domain. The author proposes to use subspace based method in the frequency domain for VEP signal estimation. In making use of the subspace method, spectral subtraction approach is utilized. Noise estimate is performed by subspace method in the time domain and subtracts the estimated noise in the frequency domain. Magnitude spectral subtraction is chosen to subtract the noise from the noisy signal. The results show that although the method needs to be developed further, this method can be used in the estimation of VEP signal. © 2011 IEEE.
Item Type: | Conference or Workshop Item (UNSPECIFIED) |
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Additional Information: | cited By 0; Conference of 2012 4th International Conference on Intelligent and Advanced Systems, ICIAS 2012 ; Conference Date: 12 June 2012 Through 14 June 2012; Conference Code:93534 |
Uncontrolled Keywords: | Eigenvalue decomposition; Noisy environment; Spectral subtractions; Susbpace; Visual evoked potential, Eigenvalues and eigenfunctions; Electroencephalography; Frequency domain analysis, Time domain analysis |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 09 Nov 2023 15:51 |
Last Modified: | 09 Nov 2023 15:51 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/2769 |