A Novel Selective Active Noise Control Algorithm to Overcome Practical Implementation Issue

Dong-Yuan Shi; Bhan Lam; Woon-Seng Gan

ICASSP 2018accepted0 citations

A Novel Selective Active Noise Control Algorithm to Overcome Practical Implementation Issue

Abstract

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.

BibTeX

@inproceedings{icassp2018_anovelselectivea,
  title = {A Novel Selective Active Noise Control Algorithm to Overcome Practical Implementation Issue},
  author = {Dong-Yuan Shi and Bhan Lam and Woon-Seng Gan},
  booktitle = {ICASSP 2018},
  year = {2018}
}