Independent component analysis by complex nonlinearities

@article{Adali2004IndependentCA,
  title={Independent component analysis by complex nonlinearities},
  author={T{\"u}lay Adali and Taehwan Kim and Vince D. Calhoun},
  journal={2004 IEEE International Conference on Acoustics, Speech, and Signal Processing},
  year={2004},
  volume={5},
  pages={V-525}
}
A number of complex nonlinear functions are proposed for the independent component analysis (ICA) of complex-valued data. We discuss the properties of these nonlinearities and show their efficiency in generating the higher order statistics needed for ICA. 

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