• DocumentCode
    955997
  • Title

    CuBICA: independent component analysis by simultaneous third- and fourth-order cumulant diagonalization

  • Author

    Blaschke, Tobias ; Wiskott, Laurenz

  • Author_Institution
    Inst. for Theor. Biol., Humboldt Univ., Berlin, Germany
  • Volume
    52
  • Issue
    5
  • fYear
    2004
  • fDate
    5/1/2004 12:00:00 AM
  • Firstpage
    1250
  • Lastpage
    1256
  • Abstract
    CuBICA, which is an improved method for independent component analysis (ICA) based on the diagonalization of cumulant tensors is proposed. It is based on Comon´s algorithm, but it takes third- and fourth-order cumulant tensors into account simultaneously. The underlying contrast function is also mathematically much simpler and has a more intuitive interpretation. It is therefore easier to optimize and approximate. A comparison with Comon´s and three other ICA algorithms on different data sets demonstrates its performance.
  • Keywords
    approximation theory; higher order statistics; independent component analysis; optimisation; signal processing; Comon algorithm; CuBICA; approximation; data sets; fourth-order cumulant diagonalization; independent component analysis; optimization; third-order cumulant diagonalization; Acoustic noise; Analytical models; Independent component analysis; Signal processing; Tensile stress; Yield estimation;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2004.826173
  • Filename
    1284823