Adaptive Learning Methods for Nonlinear System Modeling

Preface

Danilo Comminiello; José C. Príncipe     

This book introduces recent advances on adaptive algorithms and learning methods designed for nonlinear system modeling and identification.

With the recent technology progress, the role of online learning, and in particular of adaptive filtering, has given the possibility to develop effective nonlinear methods that are also computationally efficient and suited for real-life signal processing applications. This is the reason why the goal of this book is to provide a view on the recent methodologies that involve advanced theories aimed at the identification and modeling of several nonlinear systems with higher complexity. This book also aims to provide a view on recent examples of applications ...