Multiple windows for estimation of locally stationary transients in the electroencephalogram.
In this paper, multiple windows, optimal for locally stationary processes (MW-LSP) are used to estimate the spectrogram of the ElectroEncephaloGram (EEG) where we focus on the ability to estimate transient frequency changes. A peak of known frequency was evoked in the EEG spectrum in a predetermined time interval, by using a 9 Hz flickering light. We investigate the multiple windows corresponding to the mean squared error optimal time-frequency kernel for estimation of the Wigner-Ville spectrum. The kernel is optimal for a certain locally stationary process where the covariance function is determined by two one-dimensional Gaussian functions.
Hansson
Maria
M
Department of Mathematical Statistics, Centre for Mathematical Sciences, Lund University, Box 118 S-221 00 Lund, Sweden. mh@maths.lth.se.
Sandberg
Johan
J