Multiple Windows for Estimation of Locally Stationary Transients in the Electroencephalogram
Publikation/Tidskrift/Serie: 27th Annual International Conference of the Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005
Volym: 7 VOLS
Förlag: IEEE--Institute of Electrical and Electronics Engineers Inc.
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
- Probability Theory and Statistics
- Multiple windows
- Covariance function
- Locally stationary processes (MW-LSP)
- Mean squared error optimal time-frequency kernel
27th Annual International Conference of the Engineering in Medicine and Biology Society, 2005.
- Statistical Signal Processing Group
- ISSN: 0589-1019
- ISBN: 0-7803-8741-4