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Multiple Windows for Estimation of Locally Stationary Transients in the Electroencephalogram

In English

Författare

Summary, in English

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

Avdelning/ar

Publiceringsår

2005

Språk

Engelska

Sidor

7293-7296

Publikation/Tidskrift/Serie

27th Annual International Conference of the Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005

Volym

7 VOLS

Dokumenttyp

Konferensbidrag

Förlag

IEEE - Institute of Electrical and Electronics Engineers Inc.

Ämne

  • Probability Theory and Statistics

Nyckelord

  • Multiple windows
  • Covariance function
  • Locally stationary processes (MW-LSP)
  • Mean squared error optimal time-frequency kernel

Conference name

27th Annual International Conference of the Engineering in Medicine and Biology Society, 2005.

Conference date

2005-09-01 - 2005-09-04

Conference place

Shanghai, China

Status

Published

Forskningsgrupp

  • Statistical Signal Processing Group

ISBN/ISSN/Övrigt

  • ISSN: 0589-1019
  • ISBN: 0-7803-8741-4