Abstract
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 21st International Congress on Sound and Vibration 2014, ICSV 2014 |
| Place of Publication | United States |
| Publisher | International Institute of Acoustics and Vibration |
| Pages | 4870-4877 |
| Volume | 6 |
| ISBN (Print) | 9781634392389 |
| Publication status | Published - 2014 |
| Event | 21st International Congress on Sound and Vibration 2014 - Beijing, China Duration: 13 Jul 2014 → 17 Jul 2014 |
Conference
| Conference | 21st International Congress on Sound and Vibration 2014 |
|---|---|
| Country | China |
| City | Beijing |
| Period | 13/07/14 → 17/07/14 |
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An efficient method to regularize reference signal for ANC system. / Chen, Kai; Paurobally, Roshun; Pan, Jie; Qiu, Xiaoyan.
Proceedings of the 21st International Congress on Sound and Vibration 2014, ICSV 2014. Vol. 6 United States : International Institute of Acoustics and Vibration, 2014. p. 4870-4877.Research output: Chapter in Book/Conference paper › Conference paper
TY - GEN
T1 - An efficient method to regularize reference signal for ANC system
AU - Chen, Kai
AU - Paurobally, Roshun
AU - Pan, Jie
AU - Qiu, Xiaoyan
PY - 2014
Y1 - 2014
N2 - In this paper, an improved algorithm for active control of fan noise is proposed. The main idea behind this work is to optimize the components in the reference signal using the information from the unwanted fan noise. In the algorithm, the linear prediction coefficients obtained from the noise is used to build an autoregressive model. Then the model is applied to the reference signal to improve the correlation between the regularized reference signal and the noise. This reference signal regularization (RSR) is carried out automatically by an adaptive autoregressive process. The RSR improves the control performance noticeably. The algorithm has a fast convergence rate and high stability with a tolerant increase in computational complexity. It was implemented to reduce the noise from a real fan on a digital signal processor.
AB - In this paper, an improved algorithm for active control of fan noise is proposed. The main idea behind this work is to optimize the components in the reference signal using the information from the unwanted fan noise. In the algorithm, the linear prediction coefficients obtained from the noise is used to build an autoregressive model. Then the model is applied to the reference signal to improve the correlation between the regularized reference signal and the noise. This reference signal regularization (RSR) is carried out automatically by an adaptive autoregressive process. The RSR improves the control performance noticeably. The algorithm has a fast convergence rate and high stability with a tolerant increase in computational complexity. It was implemented to reduce the noise from a real fan on a digital signal processor.
M3 - Conference paper
SN - 9781634392389
VL - 6
SP - 4870
EP - 4877
BT - Proceedings of the 21st International Congress on Sound and Vibration 2014, ICSV 2014
PB - International Institute of Acoustics and Vibration
CY - United States
ER -