On algorithms and implementations of a 4-channel active noise canceling window
On algorithms and implementations of a 4-channel active noise canceling window
The active noise canceling window is an application of the multi-channel active noise control (ANC) system, which aims to provide a quiet living environment while preserving the ventilation of the room. In the implementation of the active noise canceling window, the standard multiple-error LMS algorithm demands too much computational power to be handled by a common digital signal processor (DSP). Hence, the minimax algorithm, which minimize the amplitude instead of the power of the noise field, is revisited. The minimax algorithm is compared with the multiple-error LMS algorithm based on numerical simulations of a case (1, 4, 4) ANC system and real-time experiments with floating-point implementations. The simulation and experiment results show that the minimax algorithm has a distinct advantage in reducing the computational complexity but its trade-off is the relatively slow convergence speed.
217-221
Shi, Chuang
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Jiang, Nan
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Li, Huiyong
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Shi, Dongyuan
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Gan, Woon-Seng
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Shi, Chuang
c46f72bd-54c7-45ee-ac5d-285691fccf81
Jiang, Nan
bb850887-4c6b-4773-82ae-dd28d150397d
Li, Huiyong
01099860-a8cb-4a57-b2b3-f5a426fcba2c
Shi, Dongyuan
20b1a768-6034-462a-a9c1-6c6a7a643650
Gan, Woon-Seng
1936c59c-0552-498c-86a4-20bb81bb561a
Shi, Chuang, Jiang, Nan, Li, Huiyong, Shi, Dongyuan and Gan, Woon-Seng
(2018)
On algorithms and implementations of a 4-channel active noise canceling window.
In 2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS).
IEEE.
.
(doi:10.1109/ISPACS.2017.8266476).
Record type:
Conference or Workshop Item
(Paper)
Abstract
The active noise canceling window is an application of the multi-channel active noise control (ANC) system, which aims to provide a quiet living environment while preserving the ventilation of the room. In the implementation of the active noise canceling window, the standard multiple-error LMS algorithm demands too much computational power to be handled by a common digital signal processor (DSP). Hence, the minimax algorithm, which minimize the amplitude instead of the power of the noise field, is revisited. The minimax algorithm is compared with the multiple-error LMS algorithm based on numerical simulations of a case (1, 4, 4) ANC system and real-time experiments with floating-point implementations. The simulation and experiment results show that the minimax algorithm has a distinct advantage in reducing the computational complexity but its trade-off is the relatively slow convergence speed.
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ISPACS2017_Submission
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Available under License Other.
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e-pub ahead of print date: 22 January 2018
Venue - Dates:
2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), , Xiamen, China, 2017-11-06 - 2017-11-09
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Local EPrints ID: 484141
URI: http://eprints.soton.ac.uk/id/eprint/484141
PURE UUID: eeb3c975-dbf1-44c3-951e-9fec34091f18
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Date deposited: 10 Nov 2023 18:03
Last modified: 18 Mar 2024 04:13
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Author:
Chuang Shi
Author:
Nan Jiang
Author:
Huiyong Li
Author:
Dongyuan Shi
Author:
Woon-Seng Gan
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