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Multiple Windows for Estimation of Locally Stationary Transients in the Electroencephalogram

Författare:
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 Press

Sammanfattning

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

Disputation

Nyckelord

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

Övriga

27th Annual International Conference of the Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005
2014-09-02
Shanghai, China
Published
Yes
  • ISSN: 0589-1019
  • ISBN: 0-7803-8741-4

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