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Robust Multivariate Spectral Analysis of the EEG

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Directions in Robust Statistics and Diagnostics

Part of the book series: The IMA Volumes in Mathematics and its Applications ((IMA,volume 34))

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Abstract

The multichannel electroencephalogram (EEG), obtained from an array of scalp electrodes, can be looked at as a realization of a multivariate stochastic process, whose second order properties are investigated by the methods of spectral analysis.

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© 1991 Springer-Verlag New York, Inc.

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Molinari, L., Dumermuth, G. (1991). Robust Multivariate Spectral Analysis of the EEG. In: Directions in Robust Statistics and Diagnostics. The IMA Volumes in Mathematics and its Applications, vol 34. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-4444-8_3

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  • DOI: https://doi.org/10.1007/978-1-4612-4444-8_3

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4612-8772-8

  • Online ISBN: 978-1-4612-4444-8

  • eBook Packages: Springer Book Archive

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