A posteriori time-varying filtering of averaged evoked potentials
- 1 September 1981
- journal article
- Published by Springer Nature in Biological Cybernetics
- Vol. 41 (3), 223-234
- https://doi.org/10.1007/bf00340323
Abstract
The problem of estimating an unknown transient signal, given an ensemble of waveforms, in which this signal appears as a nonrandom component in the presence of additive noise is considered. This problem is solved by generalizing the method of “a posteriori ‘Wiener’ filtering”. In the new method, the ensemble average is filtered by a time-varying system which is based on estimated time-varying power spectra of signal and noise. The nature of this system, and the computational procedures involved, are discussed in detail. A software package for time-varying filtering is briefly described. Application of the method is illustrated by a simulation example, which also provides a comparison to time-invariant a posteriori “Wiener” filtering.This publication has 9 references indexed in Scilit:
- A posteriori time-varying filtering of averaged evoked potentialsBiological Cybernetics, 1981
- Spectro-temporal representations and time-varying spectra of evoked potentialsBiological Cybernetics, 1981
- Spectro-temporal representations and time-varying spectra of evoked potentials. A methodological investigation.1981
- Estimation of signal and noise spectra by special averaging techniques with application to a posteriori “Wiener” filteringBiological Cybernetics, 1979
- Theory and practice of a posteriori “Wiener” filtering of average evoked potentialsBiological Cybernetics, 1978
- Comparison of Wiener filtering and selective averaging of evoked potentialsElectroencephalography and Clinical Neurophysiology, 1976
- Some comments on the use of Wiener filtering for the estimation of evoked potentialsElectroencephalography and Clinical Neurophysiology, 1975
- A guided tour of the fast Fourier transformIEEE Spectrum, 1969
- A posteriori "Wiener filtering" of average evoked responses.1968