Higher Order Cumulant Maximisation using Non-linear Hebbian and Anti-Hebbian Learning for Adaptive Blind Separation of Source Signals

@inproceedings{Girolami1996HigherOC,
  title={Higher Order Cumulant Maximisation using Non-linear Hebbian and Anti-Hebbian Learning for Adaptive Blind Separation of Source Signals},
  author={Mark A. Girolami and C. Fyfe},
  year={1996}
}
  • Mark A. Girolami, C. Fyfe
  • Published 1996
  • Mathematics
  • Publisher Summary This chapter proposes a novel nonlinear self-organizing network which solely employs computationally simple hebbian and antihebbian learning in approximating a linear independent component analysis (ICA). The learning algorithms diagonalize the input data covariance matrix and approximate an orthogonal rotation which maximizes the sum of fourth order cumulants, thus providing invariant separation of the input into the individual sub-components. This network is applied to… CONTINUE READING

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