An alternative switching criterion for independent component analysis (ICA)

@article{Gao2005AnAS,
  title={An alternative switching criterion for independent component analysis (ICA)},
  author={Dengpan Gao and Jinwen Ma and QianSheng Cheng},
  journal={Neurocomputing},
  year={2005},
  volume={68},
  pages={267-272}
}
In solving the problem of noiseless independent component analysis (ICA) in which sources of superand sub-Gaussian coexist in an unknown manner, one can be lead to a feasible solution using the natural gradient learning algorithm with a kind of switching criterion for the model probability distribution densities to be selected as superor sub-Gaussians… CONTINUE READING