• DocumentCode
    1766907
  • Title

    Modeling of noisy electromagnetic fields using principal component analysis

  • Author

    Russer, Johannes ; Asenov, Tatjana ; Russer, Peter

  • Author_Institution
    Inst. for Nanoelectron., Tech. Univ. Munchen, Munich, Germany
  • fYear
    2014
  • fDate
    6-9 Oct. 2014
  • Firstpage
    1099
  • Lastpage
    1102
  • Abstract
    In this work, methods for the near field computation of radiated electromagnetic interference are discussed. Green´s function methods for near field computation of the electromagnetic field correlation dyadics are introduced. Principal component analysis (PCA) is applied for representing the stochastic sources of the electromagnetic field by a minimum set of mutually uncorrelated equivalent sources.
  • Keywords
    Green´s function methods; electromagnetic interference; principal component analysis; Green´s function methods; PCA; electromagnetic field correlation dyadics; electromagnetic interference; principal component analysis; stochastic sources; Correlation; Density measurement; Electromagnetic interference; Electromagnetics; Power system measurements; Principal component analysis; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave Conference (EuMC), 2014 44th European
  • Conference_Location
    Rome
  • Type

    conf

  • DOI
    10.1109/EuMC.2014.6986631
  • Filename
    6986631