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Optimal detection of visual evoked potentials.

作者信息

Davila C E, Srebro R, Ghaleb I A

机构信息

Electrical Engineering Department, Southern Methodist University, Dallas, TX 75275-0338, USA.

出版信息

IEEE Trans Biomed Eng. 1998 Jun;45(6):800-3. doi: 10.1109/10.678615.

Abstract

We consider the problem of detecting visual evoked potentials (VEP's). A matched subspace filter is applied to the detection of the VEP and is demonstrated to perform better than a number of other evoked potential detectors. Unlike single-harmonic detectors, the matched subspace filter (MSF) detector is suitable for detecting multiharmonic VEP's. Moreover, the MSF is optimal in the uniformly most powerful sense for multiharmonic signals with unknown noise variance.

摘要

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