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Universal Fourth Order Music Method: Incorporation Of ICA Into Meg Inverse Solution (2001)  (Make Corrections)  
Satoshi Niijima, Shoogo Ueno



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Abstract: In recent years, several inverse solutions of magnetoencephalography (MEG) have been proposed. Among them, the multiple signal classification (MUSIC) method utilizes spatiotemporal information obtained from magnetic fields. The conventional MUSIC method is, however, sensitive to Gaussian noise and a sufficiently large signal-to-noise ratio (SNR) is required to estimate the number of sources and to specify the precise locations of electrical neural activities. In this paper, a universal fourth... (Update)

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BibTeX entry:   (Update)

@misc{ niijima-universal,
  author = "Satoshi Niijima and Shoogo Ueno",
  title = "Universal Fourth Order Music Method: Incorporation Of ICA Into Meg Inverse
    Solution",
  url = "citeseer.ist.psu.edu/556485.html" }
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171   Blind beamforming for non Gaussian signals - Cardoso, Souloumiac - 1993
115   Multiple emitter location and signal parameter estimation (context) - Schmidt - 1986
44   High-order contrasts for independent component analysis (context) - Cardoso - 1999
28   Multiple dipole modeling and localization from spatiotempora.. (context) - Mosher, Lewis et al. - 1992
21   Magnetoencephalography -- theory, instrumentation, and appli.. (context) - Hamalainen, Hari et al. - 1993
5   Independent component analysis, A survey of some algebraic m.. - Cardoso, Comon - 1996
5   Source localization using recursively applied and projected .. (context) - Mosher, Leahy - 1999
3   Localization of independent components from magnetoencephalo.. - Tang, Phung et al. - 2000
1   Pseudo-Randomly generated estimator banks: a new tool for im.. (context) - Gershman - 1998
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