Imposing sparsity on the mixing matrix in independent component analysis

@article{Hyvrinen2002ImposingSO,
  title={Imposing sparsity on the mixing matrix in independent component analysis},
  author={Aapo Hyv{\"a}rinen and Karthikesh Raju},
  journal={Neurocomputing},
  year={2002},
  volume={49},
  pages={151-162}
}
In independent component analysis, prior information on the distributions of the independent components is often used; some weak information may in fact be necessary for successful estimation. In contrast, prior information on the mixing matrix is usually not used. This is because it is considered that the estimation should be completely blind as to the form of the mixing matrix. Nevertheless, it could be possible to 1nd forms of prior information that are su2ciently general to be useful in a… CONTINUE READING
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