A novel extended kernel recursive least squares algorithm

In this paper, a novel extended kernel recursive least squares algorithm is proposed combining the kernel recursive least squares algorithm and the Kalman filter or its extensions to estimate or predict signals. Unlike the extended kernel recursive least squares (Ex-KRLS) algorithm proposed by Liu,...

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Bibliographic Details
Published in:	Neural networks Vol. 32; pp. 349 - 357
Main Authors:	Zhu, Pingping, Chen, Badong, Príncipe, José C.
Format:	Journal Article
Language:	English
Published:	United States Elsevier Ltd 01.08.2012
Subjects:	Algorithms Computer Simulation Extended kernel RLS algorithm Extended-RLS algorithms Kalman filter Kalman filters Kernels Least squares method Least-Squares Analysis Linear Models Mathematical models Motor Vehicles Neural Networks (Computer) Nonlinear Dynamics Normal Distribution Recursive RLS algorithm State estimation Support Vector Machine Tracking Tracking performance Extended-RLS algorithms RLS algorithm Tracking performance Extended kernel RLS algorithm Kalman filter
ISSN:	0893-6080, 1879-2782, 1879-2782
Online Access:	Get full text
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