Adaptive filtering still receives attention in engineering as the use of the adaptive filter provides improved performance over the use of a fixed filter under

Online learning from a signal processing perspective There is increased interest in kernel learning algorithms in neural networks and a growing need for nonline

Recently, criterion functions based on information theoretic measures (entropy, mutual information, information divergence) have attracted attention and become

The book constitutes the refereed proceedings of the 13th EAI International Conference on Communications and Networking, held in October 2018 in Chengdu, China.

This book presents the design, analysis, and application of nonlinear adaptive filters with the goal of improving efficient performance (ie the convergence spee