An Investigation on the Plant Modeling Filter's Parameters for Active Noise Control System
Summary :
Usually an FIR filter is used to model the physical paths in an active noise control system. However, the order of the filter to be modeled is a key factor for determining the computational load for the adaptive algorithms associated with active noise control (ANC), particularly for multi-channel algorithms. In this letter, the relationships among the filter's order, the plant modeling error and the location of poles for the transfer functions of the physical paths in an ANC system are theoretically examined and numerical examples are given to verify the theoretical results.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E89-A No.6 pp.1847-1851
- Publication Date
- 2006/06/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1093/ietfec/e89-a.6.1847
- Type of Manuscript
- LETTER
- Category
- Noise and Vibration
Authors
Keyword
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Jinjun WANG, Kean CHEN, Guoyue CHEN, Kenji MUTO, "An Investigation on the Plant Modeling Filter's Parameters for Active Noise Control System" in IEICE TRANSACTIONS on Fundamentals,
vol. E89-A, no. 6, pp. 1847-1851, June 2006, doi: 10.1093/ietfec/e89-a.6.1847.
Abstract: Usually an FIR filter is used to model the physical paths in an active noise control system. However, the order of the filter to be modeled is a key factor for determining the computational load for the adaptive algorithms associated with active noise control (ANC), particularly for multi-channel algorithms. In this letter, the relationships among the filter's order, the plant modeling error and the location of poles for the transfer functions of the physical paths in an ANC system are theoretically examined and numerical examples are given to verify the theoretical results.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e89-a.6.1847/_p
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@ARTICLE{e89-a_6_1847,
author={Jinjun WANG, Kean CHEN, Guoyue CHEN, Kenji MUTO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={An Investigation on the Plant Modeling Filter's Parameters for Active Noise Control System},
year={2006},
volume={E89-A},
number={6},
pages={1847-1851},
abstract={Usually an FIR filter is used to model the physical paths in an active noise control system. However, the order of the filter to be modeled is a key factor for determining the computational load for the adaptive algorithms associated with active noise control (ANC), particularly for multi-channel algorithms. In this letter, the relationships among the filter's order, the plant modeling error and the location of poles for the transfer functions of the physical paths in an ANC system are theoretically examined and numerical examples are given to verify the theoretical results.},
keywords={},
doi={10.1093/ietfec/e89-a.6.1847},
ISSN={1745-1337},
month={June},}
Copy
TY - JOUR
TI - An Investigation on the Plant Modeling Filter's Parameters for Active Noise Control System
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1847
EP - 1851
AU - Jinjun WANG
AU - Kean CHEN
AU - Guoyue CHEN
AU - Kenji MUTO
PY - 2006
DO - 10.1093/ietfec/e89-a.6.1847
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E89-A
IS - 6
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - June 2006
AB - Usually an FIR filter is used to model the physical paths in an active noise control system. However, the order of the filter to be modeled is a key factor for determining the computational load for the adaptive algorithms associated with active noise control (ANC), particularly for multi-channel algorithms. In this letter, the relationships among the filter's order, the plant modeling error and the location of poles for the transfer functions of the physical paths in an ANC system are theoretically examined and numerical examples are given to verify the theoretical results.
ER -
English
