Signal Models, Filter Structures, and Adaptive Algorithms for Acoustic Echo Control

The design of fast learning and noise robust adaptive filters for acoustic echo control has attracted the research community for decades. This paper presents a fresh view of acoustic echo control in order to change and to generalize some of the previously well-established signal processing paradigms. In doing so, the paper relates earlier work to more recent developments.