The Equivalency of Minimum Error Entropy Criterion and Minimum Dispersion Criterion for Symmetric Stable Signal Processing

@article{Song2010TheEO,
  title={The Equivalency of Minimum Error Entropy Criterion and Minimum Dispersion Criterion for Symmetric Stable Signal Processing},
  author={Aimin Song and Tianshuang Qiu},
  journal={IEEE Signal Processing Letters},
  year={2010},
  volume={17},
  pages={32-35}
}
<para> The minimum error entropy (MEE) criterion in information theoretic learning is an efficient way to deal with non-Gaussian signal processing. And the minimum dispersion (MD) criterion has been widely applied in stable signal processing. In this letter, we show that there exists an equivalence between the MD criterion and the MEE criterion where symmetric <formula formulatype="inline"><tex Notation="TeX">$\alpha$</tex> </formula>-stable <formula formulatype="inline"><tex Notation="TeX">$(S… CONTINUE READING