Kernel Adaptive Filtering

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Welcome to Kernel Adaptive Filtering

Brief Introduction about Kernel Adaptive Filter
Kernel adaptive filtering is an adaptive filtering technique for general nonlinear problems. It is a natural generalization of linear adaptive filtering in reproducing kernel
Hilbert spaces. Kernel adaptive filters are online kernel methods, closely related to some artificial neural networks such as radial basis function networks and
regularization networks. Some distinguishing features include: The learning process is online, the learning process is convex with no local minima, and the learning
process requires moderate complexity .

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Related Publications

Perface, Table of Contents, Chapter 1, Matlab Code,

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