Multikernel least mean square algorithm.
Published in IEEE transactions on neural networks and learning systems • Feb 1, 2014
NobleIDNI4P48W00R90S80
Authors:,,
Felipe A Tobar
Sun-Yuan Kung
Danilo P Mandic
Abstract
The multikernel least-mean-square algorithm is introduced for adaptive estimation of vector-valued nonlinear and nonstationary signals. This is achieved by mapping the multivariate input data to a Hilbert space of time-varying vector-valued functions, whose inner products (kernels) are combined in a...
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