Adaptive Kernel Learning for Signal Processing

Adaptive filtering is a central topic in digital signal processing (DSP). By applying linear adaptive filtering principles in the kernel feature space, powerful nonlinear adaptive filtering algorithms can be obtained. This chapter introduces the wide topic of adaptive signal processing, and explores...

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Bibliographic Details

Published in:	Digital Signal Processing with Kernel Methods pp. 387 - 431
Main Authors:	Rojo-Álvarez, José Luis, Martínez-Ramón, Manel, Muñoz-Mar&iacute, Jordi, Camps-Valls, Gustau
Format:	Book Chapter
Language:	English
Published:	Chichester, UK Wiley 2018 John Wiley & Sons, Ltd
Edition:	1
Series:	Wiley - IEEE
Subjects:	adaptive kernel learning digital signal estimation digital signal processing kernel expansion kernel feature space nonlinear adaptive filtering algorithms online sparsification technique probabilistic models Training Adaptive systems Correlation Signal processing algorithms Signal processing Mathematical model Kernel
ISBN:	9781118611791, 1118611799
Online Access:	Get full text
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