Second-Order Approximation of Minimum Discrimination Information in Independent Component Analysis

@article{Li2022SecondOrderAO,
  title={Second-Order Approximation of Minimum Discrimination Information in Independent Component Analysis},
  author={Yunpeng Li},
  journal={IEEE Signal Processing Letters},
  year={2022},
  volume={29},
  pages={334-338}
}
  • Yunpeng Li
  • Published 30 November 2021
  • Computer Science
  • IEEE Signal Processing Letters
Independent Component Analysis (ICA) is intended to recover the mutually independent sources from their linear mixtures, and <inline-formula><tex-math notation="LaTeX">$FastICA$</tex-math></inline-formula> is one of the most successful ICA algorithms. Although it seems reasonable to improve the performance of <inline-formula><tex-math notation="LaTeX">$FastICA$</tex-math></inline-formula> by introducing more nonlinear functions to the negentropy estimation, the original fixed-point method… 

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References

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