Kernel Adaptive Filtering: A Comprehensive Introduction by J. C. Principe
Wiley | March 01 2010 | ISBN: 0470447532 | Pages: 209 | PDF | 1.42 MB
Online learning from a signal processing perspective. There is increased interest in kernel learning algorithms in neural networks and a growing need for nonlinear adaptive algorithms in advanced signal processing, communications, and controls. Kernel Adaptive Filtering is the first book to present a comprehensive, unifying introduction to online learning algorithms in reproducing kernel Hilbert spaces.