  Active noise control (ANC) is an effective way for reducing the noise level
in electroacoustic or electromechanical systems. Since its first introduction
in 1936, this approach has been greatly developed. This paper focuses on
discussing the development of ANC techniques over the past decade. Linear ANC
algorithms, including the celebrated filtered-x least-mean-square (FxLMS)-based
algorithms and distributed ANC algorithms, are investigated and evaluated.
Nonlinear ANC (NLANC) techniques, such as functional link artificial neural
network (FLANN)-based algorithms, are pursued in Part II. Furthermore, some
novel methods and applications of ANC emerging in the past decade are
summarized. Finally, future research challenges regarding the ANC technique are
discussed.
