NDLI: Subspace based spectral subtraction approach for Visual Evoked Potential extraction

Content Provider	IEEE Xplore Digital Library
Author	Yanti, D.K. Yusoff, M.Z.
Copyright Year	2012
Description	Author affiliation: Electrical and Electronic Engineering, Universiti Teknologi Petronas (Yanti, D.K.; Yusoff, M.Z.)
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.
Starting Page	691
Ending Page	694
File Size	131766
Page Count	4
File Format	PDF
ISBN	9781457719684
e-ISBN	9781457719677
DOI	10.1109/ICIAS.2012.6306102
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-12
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization Electric potential noisy environment Visual Evoked Potential Noise Susbpace spectral subtraction Estimation eigenvalue decomposition Time domain analysis Eigenvalues and eigenfunctions Noise measurement
Content Type	Text
Resource Type	Article

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