Widely linear based filter for visual evoked potential estimation

Yanti, D.K. and Yusoff, M.Z. and Asirvadam, V.S. (2011) Widely linear based filter for visual evoked potential estimation. In: UNSPECIFIED.

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Abstract

Visual Evoked Potential (VEP) is known as non-stationary signal. The noteworthy characteristic associated with VEP is; it has a very low Signal to Noise Ratio (SNR). A widely linear distortionless (WLD) filter which has been previously applied in the speech enhancement is introduced for the VEP noise reduction. The designed filter exclusively depends on the non-circularity coefficient of the non-stationary signal. The WLD filter works well even in the very noisy environment where the input SNR goes far down below than -10 dB. The authors finally propose the frequency based estimation with widely linear distortionless filter for VEP signal estimation. The characteristic of the filter suits the characteristic of VEP signal. The results show that the average error and failure rate shows good performance in the result. © 2011 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: cited By 0; Conference of 2nd IEEE International Conference on Open Systems, ICOS 2011 ; Conference Date: 25 September 2011 Through 28 September 2011; Conference Code:87606
Uncontrolled Keywords: Failure analysis; Frequency estimation; Mathematical transformations; Signal processing; Speech enhancement, circularity; Complex-valued signal; Noisy environment; Nonstationary signals; Short time Fourier transforms; Visual evoked potential; Widely linear estimations, Signal to noise ratio
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 15:50
Last Modified: 09 Nov 2023 15:50
URI: https://khub.utp.edu.my/scholars/id/eprint/2322

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