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Multiple windows for estimation of locally stationary transients in the electroencephalogram.

Multiple windows for estimation of locally stationary transients in the electroencephalogram. Research Abstract Details 

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  • Multiple windows for estimation of locally stationary transients in the electroencephalogram. Abstract Text:

    maria hanssonMaria Hansson,johan sandbergJohan Sandberg,

    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.

    Multiple windows for estimation of locally stationary transients in the electroencephalogram. Publishing Authors By Initials

    m hanssonM Hansson,j sandbergJ Sandberg,

    For similar abstracts research abstracts see: abstracts research

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    Multiple windows for estimation of locally stationary transients in the electroencephalogram. Journal Published:

    PUBLICATION TYPE: Journal Article

    Journal: Conference proceedings : ... Annual International

    VOLUME: 7

    Page Numbers: 7293-6

    Journal Abbreviation:

    ISSN: 1557-170X

    DAY: 6

    MONTH: 02

    YEAR: 2005

    Multiple windows for estimation of locally stationary transients in the electroencephalogram. Information

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    LANGUAGE: eng

    NlmUniqueID: 101243413

    Multiple windows for estimation of locally stationary transients in the electroencephalogram. Keywords Mesh Terms:

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    Grant and Affiliation Information for Multiple windows for estimation of locally stationary transients in the electroencephalogram.

    AFFILIATION: Department of Mathematical Statistics, Centre for Mathematical Sciences, Lund University, Box 118 S-221 00 Lund, Sweden. mh@maths.lth.se.

    Country: United States

    United States Research PublicationUnited States Research Publication

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    MEDLINETA: Conf Proc IEEE Eng Med Biol So

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