Kernel Recursive Least-Squares Tracker for Time-Varying Regression

10.1109/TSP.2009.2022007

van vaerenbergh, 2006, A sliding-window kernel RLS algorithm and its application to nonlinear channel identification, Proc IEEE Int Conf Acoustics Speech Signal Process, 5, 789

10.1162/089976602317250933

10.1109/MLSP.2011.6064585

rasmussen, 2006, Gaussian Processes for Machine Learning

csat, 2001, Advances in neural information processing systems, 444

10.1109/TNN.2003.810597

cun, 1990, Optimal brain damage, Adv Neural Inform Process Syst, 2, 598

dekel, 2006, Advances in neural information processing systems, 259

10.1109/TNN.2004.836241

10.1109/TNN.2011.2157358

10.1109/TSP.2004.830991

10.1109/TNNLS.2011.2179810

williams, 2000, Advances in neural information processing systems, 682

10.1002/9780470608593

10.1109/TSP.2004.830985

haykin, 2001, Adaptive Filter Theory

liu, 2009, An information theoretic approach of designing sparse kernel adaptive filters, IEEE Trans Neural Netw, 20, 1950, 10.1109/TNET.2012.2187923

10.1017/CBO9780511809682

sayed, 2003, Fundamentals of Adaptive Filtering

schlkopf, 2001, Learning With Kernels Support Vector Machines Regularization Optimization and Beyond

10.1109/TNN.2007.891590

10.4304/jcm.2.3.1-8

van vaerenbergh, 2010, Fixed-budget kernel recursive least-squares, Proc IEEE Int Conf Acoustics Speech Signal Process, 1882

10.1155/2008/875351

10.1109/TSP.2007.907881

rehbinder, 2004, Drift-free attitude estimation for accelerated rigid bodies, Automatica, 40, 653, 10.1016/j.automatica.2003.11.002

10.1049/PBRA017E