Kernel Adaptive Filtering: A Comprehensive Introduction [Book Review]

This book is a valuable reference for engineers, computer scientists, graduate students and researchers who are interested in adaptive filtering, neural networks and kernel methods. It provides major motivations and a total of 12 computer-oriented experiments to help a reader to reinforce the concepts discussed throughout the book. It is a must for those who look for nonlinear adaptive filtering methodologies to solve practical problems and those who seek inspiring research topics.