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论文类型： 期刊论文

发表时间： 2010-01-01

发表刊物： IEEE SIGNAL PROCESSING LETTERS

收录刊物： SCIE、Scopus

卷号： 17

期号： 1

页面范围： 32-35

ISSN号： 1070-9908

关键字： Minimum dispersion; minimum error entropy; Renyi's quadratic entropy; symmetric alpha-stable distributions; time delay estimation

摘要： 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 alpha-stable (S alpha S) random variables are considered as the errors of the adaptive signal processing. As an application, we propose an algorithm with the MEE criterion for the time delay estimation (TDE) problem which was solved by the MD criterion.