| Paper ID | AUD-6.4 |
| Paper Title |
Feedforward Selective Fixed-Filter Active Noise Control: Algorithm and Implementation |
| Authors |
Dongyuan Shi, Digital Signal Processing Lab, Nanyang Technological University, Singapore; Woon-Seng Gan, Bhan Lam, Shulin Wen, Nanyang Technological University, Singapore |
| Session | AUD-6: Active Noise Control, Echo Reduction, and Feedback Reduction 2: Active Noise Control and Echo Cancellation |
| Location | Gather.Town |
| Session Time: | Tuesday, 08 June, 16:30 - 17:15 |
| Presentation Time: | Tuesday, 08 June, 16:30 - 17:15 |
| Presentation |
Poster
|
| Topic |
Audio and Acoustic Signal Processing: [AUD-NEFR] Active Noise Control, Echo Reduction and Feedback Reduction |
| Virtual Presentation |
Click here to watch in the Virtual Conference |
| Abstract |
Conventional real-time active noise control (ANC) usually employs the adaptive filtered-x least mean square (FxLMS) algorithm to approach optimum coefficients for the control filter. However, lengthy training is usually required, and the perceived noise reduction is not immediately realized. Motivated by the practical implementation, we propose a selective fixed-filter active noise control (SFANC) algorithm, which selects a pretrained control filter to attenuate the detected primary noise rapidly. On top of improved robustness, the complexity analysis reveals that SFANC appears to be more efficient. The SFANC algorithm chooses the most suitable control filter based on the frequency-band-match approach implemented in a partitioned frequency-domain filter. Through simulations, SFANC is shown to exhibit a satisfactory response time and steady-state noise reduction performance, even for time-varying noise and real non-stationary disturbance. |
