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

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 compu...

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Bibliographic Details
Main Authors: Shi, Dong Yuan, Lam, Bhan, Gan, Woon-Seng
Format: Conference Proceeding
Language:English
Subjects:
Active Noise Control
Bandwidth
Broadband communication
Digital Signal Processing
Frequency control
Frequency-domain analysis
FxLMS algorithm
Noise reduction
Optimized production technology
Real-Time Implementation
Real-time systems
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Description
Summary: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.
ISSN:2379-190X
DOI:10.1109/ICASSP.2018.8461458