Home > Research > Publications & Outputs > Fast-array implementation of adaptive IIR filte...

Associated organisational unit

View graph of relations

Fast-array implementation of adaptive IIR filter in feed-forward active noise and vibration control

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published

Standard

Fast-array implementation of adaptive IIR filter in feed-forward active noise and vibration control. / Montazeri, Allahyar; Zavari, Keivan; Poshtan, Javad et al.

Proceedings of the 17th IFAC World Congress, 2008. Vol. 17 IFAC, 2008. p. 3544-3549.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Montazeri, A, Zavari, K, Poshtan, J & Roosta, A 2008, Fast-array implementation of adaptive IIR filter in feed-forward active noise and vibration control. in Proceedings of the 17th IFAC World Congress, 2008. vol. 17, IFAC, pp. 3544-3549. https://doi.org/10.3182/20080706-5-KR-1001.00599

APA

Montazeri, A., Zavari, K., Poshtan, J., & Roosta, A. (2008). Fast-array implementation of adaptive IIR filter in feed-forward active noise and vibration control. In Proceedings of the 17th IFAC World Congress, 2008 (Vol. 17, pp. 3544-3549). IFAC. https://doi.org/10.3182/20080706-5-KR-1001.00599

Vancouver

Montazeri A, Zavari K, Poshtan J, Roosta A. Fast-array implementation of adaptive IIR filter in feed-forward active noise and vibration control. In Proceedings of the 17th IFAC World Congress, 2008. Vol. 17. IFAC. 2008. p. 3544-3549 doi: 10.3182/20080706-5-KR-1001.00599

Author

Montazeri, Allahyar ; Zavari, Keivan ; Poshtan, Javad et al. / Fast-array implementation of adaptive IIR filter in feed-forward active noise and vibration control. Proceedings of the 17th IFAC World Congress, 2008. Vol. 17 IFAC, 2008. pp. 3544-3549

Bibtex

@inproceedings{0f574ff6790343b19b191912f55da3f0,
title = "Fast-array implementation of adaptive IIR filter in feed-forward active noise and vibration control",
abstract = "In this paper an RLS-based adaptive controller for active noise and vibration control systems is presented. This adaptive controller is designed based on feed-forward architecture and uses IIR filter as the control filter. Because the derived algorithm for ANVC systems is based on RLS recursion, its computational complexity is of order O(n^2) which is too high for real-time implementations. Besides, it is also vulnerable to round-off and finite precision errors that may occur in real-time implementation of the algorithm. Since the aim is to test the algorithm in an experimental duct a fast array implementation of the algorithm is proposed. This fast array form is used the extended the fast array algorithms for FIR filter which is studied in literature before. The proposed fast array solution of the algorithm not only reduces the computational complexity to the order of O(n) with the same performance, but also because of its matrix nature it has good numerical stability in real-time applications which is a necessity in active noise and vibration control applications.",
author = "Allahyar Montazeri and Keivan Zavari and Javad Poshtan and Alireza Roosta",
year = "2008",
doi = "10.3182/20080706-5-KR-1001.00599",
language = "English",
isbn = "978-3-902661-00-5",
volume = "17",
pages = "3544--3549",
booktitle = "Proceedings of the 17th IFAC World Congress, 2008",
publisher = "IFAC",

}

RIS

TY - GEN

T1 - Fast-array implementation of adaptive IIR filter in feed-forward active noise and vibration control

AU - Montazeri, Allahyar

AU - Zavari, Keivan

AU - Poshtan, Javad

AU - Roosta, Alireza

PY - 2008

Y1 - 2008

N2 - In this paper an RLS-based adaptive controller for active noise and vibration control systems is presented. This adaptive controller is designed based on feed-forward architecture and uses IIR filter as the control filter. Because the derived algorithm for ANVC systems is based on RLS recursion, its computational complexity is of order O(n^2) which is too high for real-time implementations. Besides, it is also vulnerable to round-off and finite precision errors that may occur in real-time implementation of the algorithm. Since the aim is to test the algorithm in an experimental duct a fast array implementation of the algorithm is proposed. This fast array form is used the extended the fast array algorithms for FIR filter which is studied in literature before. The proposed fast array solution of the algorithm not only reduces the computational complexity to the order of O(n) with the same performance, but also because of its matrix nature it has good numerical stability in real-time applications which is a necessity in active noise and vibration control applications.

AB - In this paper an RLS-based adaptive controller for active noise and vibration control systems is presented. This adaptive controller is designed based on feed-forward architecture and uses IIR filter as the control filter. Because the derived algorithm for ANVC systems is based on RLS recursion, its computational complexity is of order O(n^2) which is too high for real-time implementations. Besides, it is also vulnerable to round-off and finite precision errors that may occur in real-time implementation of the algorithm. Since the aim is to test the algorithm in an experimental duct a fast array implementation of the algorithm is proposed. This fast array form is used the extended the fast array algorithms for FIR filter which is studied in literature before. The proposed fast array solution of the algorithm not only reduces the computational complexity to the order of O(n) with the same performance, but also because of its matrix nature it has good numerical stability in real-time applications which is a necessity in active noise and vibration control applications.

U2 - 10.3182/20080706-5-KR-1001.00599

DO - 10.3182/20080706-5-KR-1001.00599

M3 - Conference contribution/Paper

SN - 978-3-902661-00-5

VL - 17

SP - 3544

EP - 3549

BT - Proceedings of the 17th IFAC World Congress, 2008

PB - IFAC

ER -