Dynamic selection of p-norm in linear adaptive filtering via online kernel-based reinforcement learning

Minh Vu, Yuki Akiyama, Konstantinos Slavakis

This study addresses the problem of selecting dynamically, at each time instance, the ``optimal'' p-norm to combat outliers in linear adaptive filtering without any knowledge on th…