Adaptive Information Filtering with Error Entropy and Error Correntropy Criteria
Authors:
- 19 March 2010
- book chapter
- Published by Springer Nature
- p. 103-140
Abstract
No abstract availableKeywords
This publication has 18 references indexed in Scilit:
- Stochastic Gradient Algorithm Under (h,φ)-Entropy CriterionCircuits, Systems, and Signal Processing, 2007
- Information cut for clustering using a gradient descent approachPattern Recognition, 2007
- Error Entropy, Correntropy and M-Estimation2007 IEEE Workshop on Machine Learning for Signal Processing, 2006
- A unifying view of error nonlinearities in LMS adaptation2002
- Generalized information potential criterion for adaptive system trainingIEEE Transactions on Neural Networks, 2002
- An error-entropy minimization algorithm for supervised training of nonlinear adaptive systemsIEEE Transactions on Signal Processing, 2002
- A global least mean square algorithm for adaptive IIR filteringIEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, 1998
- Stochastic gradient adaptation under general error criteriaIEEE Transactions on Signal Processing, 1994
- A nonparametric estimation of the entropy for absolutely continuous distributions (Corresp.)IEEE Transactions on Information Theory, 1976
- Robust Estimation of a Location ParameterThe Annals of Mathematical Statistics, 1964