Selective active noise control (SANC) is a method to select a pre-trained control filter for different primary noises, instead of using conventional real-time computation of the
control filter coefficients. SANC has the advantage of improving the robustness of control filter while reducing the
computational complexity. This paper presents a practical
strategy in choosing a suitable control filter based on the
frequency-band-match mechanism implemented in a partitioned frequency domain filter structure. Both simulation and
real-time experiment are carried out validate the noise reduction performance of the SANC compared to the conventional
FxLMS algorithm.