Correntropy as a novel measure for nonlinearity tests
Signal Processing
Pattern Recognition
An Analysis of Unsupervised Signal Processing Methods in the Context of Correlated Sources
ICA '09 Proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation
A low complexity robust detector in impulsive noise
Signal Processing
Using correntropy as a cost function in linear adaptive filters
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Correntropy based matched filtering for classification in sidescan sonar imagery
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
A test of independence based on a generalized correlation function
Signal Processing
Blind equalization based on information theoretic learning for impulsive noise environments
ECC'10 Proceedings of the 4th conference on European computing conference
WSEAS TRANSACTIONS on COMMUNICATIONS
Correntropy function for fundamental frequency determination of musical instrument samples
Expert Systems with Applications: An International Journal
Correntropy based feature selection using binary projection
Pattern Recognition
A regularized correntropy framework for robust pattern recognition
Neural Computation
Adaptive kernel size selection for correntropy based metric
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume Part I
The C-loss function for pattern classification
Pattern Recognition
Hi-index | 0.00 |
With an abundance of tools based on kernel methods and information theoretic learning, a void still exists in incorporating both the time structure and the statistical distribution of the time series in the same functional measure. In this paper, a new generalized correlation measure is developed that includes the information of both the distribution and that of the time structure of a stochastic process. It is shown how this measure can be interpreted from a kernel method as well as from an information theoretic learning points of view, demonstrating some relevant properties. To underscore the effectiveness of the new measure, a simple blind equalization problem is considered using a coded signal.