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

Citation Author(s):
Dongyuan Shi, Bhan Lam, Woon-Seng Gan
Submitted by:
DONGYUAN SHI
Last updated:
11 May 2019 - 6:51am
Document Type:
Poster
Document Year:
2018
Event:
Presenters Name:
SHI DONGYUAN
Paper Code:
2744
Categories:

Abstract 

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.

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Dataset Files

ICASSP2018_Poster_DY2.pdf

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