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• W2111162783 abstract "Weighted averages of brain evoked potentials (EPs) are obtained by weighting each single EP sweep prior to averaging. These weights are shown to maximize the signal-to-noise ratio (SNR) of the resulting average if they satisfy a generalized eigenvalue problem involving the correlation matrices of the underlying signal and noise components. The signal and noise correlation matrices are difficult to estimate and the solution of the generalized eigenvalue problem is often computationally impractical for real-time processing. Correspondingly, a number of simplifying assumptions about the signal and noise correlation matrices are made which allow an efficient method of approximating the maximum SNR weights. Experimental results are given using actual auditory EP data which demonstrate that the resulting weighted average has estimated SNRs that are up to 21% greater than the conventional ensemble average SNR.< <ETX xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>></ETX>" @default.
• W2111162783 created "2016-06-24" @default.
• W2111162783 creator A5003994559 @default.
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• W2111162783 date "1992-04-01" @default.
• W2111162783 modified "2023-09-23" @default.
• W2111162783 title "Weighted averaging of evoked potentials" @default.
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• W2111162783 doi "https://doi.org/10.1109/10.126606" @default.
• W2111162783 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/1592399" @default.
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