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@PHDTHESIS{Beucker:39214,
      author       = {Beucker, R.},
      title        = {{P}arallele numerische {A}lgorithmen und mathematische
                      {T}heorie zur {M}agnetenzephalographie},
      volume       = {3630},
      issn         = {0944-2952},
      school       = {Techn. Hochsch. Aachen},
      type         = {Dr. (FH)},
      address      = {Jülich},
      publisher    = {Forschungszentrum, Zentralbibliothek},
      reportid     = {PreJuSER-39214, Juel-3630},
      series       = {Berichte des Forschungszentrums Jülich},
      year         = {1999},
      note         = {Record converted from VDB: 12.11.2012; Aachen, Techn.
                      Hochsch., Diss., 1999},
      abstract     = {Magnetoencephalography is a method for functional brain
                      imaging It is possible to estimate the location of sources
                      of biomagnetic activity in the brain using di erent
                      reconstruction methods Unfortunately the reconstruction
                      methods usually require a large amount of computation which
                      takes time It is important to get information about the
                      quality of the data directly after the measurement in order
                      to know if the data is worth processing further To get an
                      idea of the data quality in a timely manner a parallel
                      sliding window approach based on a multiple dipole
                      reconstruction method is developed for the massively
                      parallel computer system CRAY T E of the research centre
                      Julich Furthermore a special kind of minimumnorm method is
                      proposed which has some advantages with respect to stability
                      against noise The algorithm for the calculation of the
                      solution is implemented on the CRAY J of the research centre
                      Julich The problem of determing the number of active sources
                      for the sliding window approach is done with a statistical
                      test and the necessary improvement of the noise conditions
                      for the application of the test is solved by a multichannel
                      prewhitening method},
      cin          = {ZAM},
      cid          = {I:(DE-Juel1)VDB62},
      pnm          = {Mathematische Methoden und Algorithmen für neue
                      Rechnerstrukturen},
      pid          = {G:(DE-Juel1)FUEK105},
      typ          = {PUB:(DE-HGF)11 / PUB:(DE-HGF)3},
      url          = {https://juser.fz-juelich.de/record/39214},
}