title: Optimal detection of visual evoked potentials.
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.
authors.affiliation: Electrical Engineering Department, Southern Methodist University, Dallas, TX 75275-0338, USA. cd@seas.smu.edu
authors.forename: C E
authors.initials: CE
authors.lastname: Davila
authors.forename: R
authors.initials: R
authors.lastname: Srebro
authors.forename: I A
authors.initials: IA
authors.lastname: Ghaleb
mesh_terms: D000465:Algorithms; D004566:Electrodes; D005074:Evoked Potentials, Visual; D006801:Humans; D011237:Predictive Value of Tests; D012016:Reference Values; D012815:Signal Processing, Computer-Assisted