scholarly journals A review of research on active noise control near human ear in complex sound field

2019 ◽  
Vol 68 (5) ◽  
pp. 054301
Author(s):  
Hai-Shan Zou ◽  
Xiao-Jun Qiu
Keyword(s):  
Noise Control ◽  
Active Noise Control ◽  
Sound Field ◽  
Complex Sound ◽  
Active Noise ◽  
Human Ear

Active Noise Control for Hearing Screening Test

2010 ◽  
Vol 1 (3) ◽  
pp. 67-78
Author(s):  
Dhifaf Azeez ◽  
Mohd Alauddin Mohd Ali ◽  
Hafizah Husain ◽  
Gan Kok Beng ◽  
Cila Umat
Keyword(s):  
Screening Test ◽  
Ambient Noise ◽  
Noise Control ◽  
Sampling Rate ◽  
Active Noise Control ◽  
Hearing Screening ◽  
Labview Software ◽  
Active Noise ◽  
Human Ear ◽  
Acoustic Domain

A hearing screening test is a method to determine human ear disorders and conventional audiometers and audiologists are required to perform the test. However, this procedure is difficult to implement, especially in a remote site such as a factory or a school due to the ambient noise that may cause test inaccuracy. In this work, the application of active noise control (ANC) is proposed to reduce the ambient noise using a personal computer in a hearing screening test. The ANC algorithm was simulated in MATLAB software and implemented using a computer with data acquisition modules and LabVIEW software. Results show that anti-noise was successfully generated in the electrical domain but no reduction was observed in the acoustic domain. ANC is a deterministic application that requires a real-time operating system to respond to the input with precisely timed output. To have an effective ANC system, the processing time has to be less than 0.125 ms at 8 KHz sampling rate.

Active noise control in a pure tone diffuse sound field using virtual sensing

2009 ◽  
Vol 125 (6) ◽  
pp. 3742-3755 ◽  
Author(s):  
D. J. Moreau ◽  
J. Ghan ◽  
B. S. Cazzolato ◽  
A. C. Zander
Keyword(s):  
Pure Tone ◽  
Noise Control ◽  
Active Noise Control ◽  
Sound Field ◽  
Active Noise ◽  
Virtual Sensing

scholarly journals Directional Active Noise Control with a Local Minimax Error Criterion

2019 ◽  
Vol 9 (19) ◽  
pp. 4065
Author(s):  
Kexun Chi ◽  
Ming Wu ◽  
Rong Han ◽  
Chen Gong ◽  
Jun Yang
Keyword(s):  
Noise Control ◽  
Mean Squared Error ◽  
Active Noise Control ◽  
Quadratic Function ◽  
Sound Field ◽  
Control Area ◽  
Error Criterion ◽  
Active Noise ◽  
Directional Control ◽  
Nelder Mead Algorithm

The traditional mean squared error (MSE) criterion can be formulated as a quadratic function of a vector of control filter coefficients, and it is easy to obtain optimal control filter coefficients. Although the MSE criterion can lead to noise reductions in the control area, an unpredictable directional residual sound field is generated. In this paper, we propose a method for multi-channel active harmonic noise control with a local minimax error criterion based on the Nelder–Mead algorithm, which leads to reductions at all error positions and greater reductions at controllable positions. Directional noise reduction experiments of two areas are presented for two different error criteria at discrete locations in an anechoic chamber. Compared with a system employing the traditional MSE criterion, the results show that an active noise control system with the proposed criterion can achieve extra reductions at specified locations and overall noise reductions at the same time. The present research offers some important insights into directional control.

103 2-channel active noise control in three dimensional sound field

2006 ◽  
Vol 2006 (0) ◽  
pp. 5-6
Author(s):  
Toshihiko Higashi ◽  
Shinya Kijimoto ◽  
Yoichi Kanemitu ◽  
Koichi Matuda ◽  
Ikuma Ikeda ◽  
...  
Keyword(s):  
Noise Control ◽  
Active Noise Control ◽  
Three Dimensional ◽  
Sound Field ◽  
Active Noise

I24 2-channel active noise control in three dimensional sound field

2006 ◽  
Vol 2006.59 (0) ◽  
pp. 251-252
Author(s):  
Toshihiko Higashi ◽  
Yoichi Kanemitu ◽  
Shinya Kijimoto ◽  
Koichi Matuda
Keyword(s):  
Noise Control ◽  
Active Noise Control ◽  
Three Dimensional ◽  
Sound Field ◽  
Active Noise

KTX Interior-Noise Reduction Performance Comparison Using Multichannel Active-Noise Control

2012 ◽  
Vol 152-154 ◽  
pp. 1891-1898
Author(s):  
Hyeon Seok Jang ◽  
Young Min Kim ◽  
Saehan Kim ◽  
Taeoh Lee ◽  
Kwon Soon Lee
Keyword(s):  
Noise Reduction ◽  
High Speed ◽  
Noise Control ◽  
Active Noise Control ◽  
Sound Field ◽  
Performance Comparison ◽  
High Speed Rail ◽  
Active Noise ◽  
Tunnel Section ◽  
Fxlms Algorithm

In many countries, the use of the KTX high-speed rail has been generalized of late. Therefore, its customers who initially pursued only convenience and speed have begun pursuing quality services such as comfort and stability. Thus, the importance of reducing the noise in the high-speed rail is increasing. The active noise is best choice to reduce noise because of being able to actively reduce the ambient noise coming from the environmental-factor changes. But it’s too hard in a three-dimensional closed-space sound field such as the interior of a high-speed rail. In this study, we used multichannel(2x2) FXLMS algorithm for applying ANC system in KTX. In detail, after measuring the noise inside KTX during its runs in South Korea, multichannel active noise control was simulated to determine the extent to which it can reduce the noise inside KTX. Simulation was done using a multichannel FXLMS algorithm for reducing the actual noise inside KTX and the noise reduction in the open-space section of KTX was compared with that in the tunnel section, and the active-noise-control performances in the low-frequency (below 500 Hz) region were compared.

scholarly journals Active Noise Control Experiments using Sound Energy Flu

2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Uli Krause
Keyword(s):  
Noise Control ◽  
Active Noise Control ◽  
Sound Field ◽  
Acoustic Energy ◽  
Control Approach ◽  
Active Noise ◽  
Acceleration Sensors ◽  
Radiated Sound ◽  
Set Up ◽  
Feed Forward Controller

AbstractThis paper reports on the latest results concerning the active noise control approach using net flow of acoustic energy. The test set-up consists of two loudspeakers simulating the engine noise and two smaller loudspeakers which belong to the active noise system. The system is completed by two acceleration sensors and one microphone per loudspeaker. The microphones are located in the near sound field of the loudspeakers. The control algorithm including the update equation of the feed-forward controller is introduced. Numerical simulations are performed with a comparison to a state of the art method minimising the radiated sound power. The proposed approach is experimentally validated.

Active Noise Control for Hearing Screening Test

2012 ◽  
pp. 133-143
Author(s):  
Dhifaf Azeez ◽  
Mohd Alauddin Mohd Ali ◽  
Hafizah Husain ◽  
Gan Kok Beng ◽  
Cila Umat
Keyword(s):  
Screening Test ◽  
Ambient Noise ◽  
Noise Control ◽  
Sampling Rate ◽  
Active Noise Control ◽  
Hearing Screening ◽  
Labview Software ◽  
Active Noise ◽  
Human Ear ◽  
Acoustic Domain

A hearing screening test is a method to determine human ear disorders and conventional audiometers and audiologists are required to perform the test. However, this procedure is difficult to implement, especially in a remote site such as a factory or a school due to the ambient noise that may cause test inaccuracy. In this work, the application of active noise control (ANC) is proposed to reduce the ambient noise using a personal computer in a hearing screening test. The ANC algorithm was simulated in MATLAB software and implemented using a computer with data acquisition modules and LabVIEW software. Results show that anti-noise was successfully generated in the electrical domain but no reduction was observed in the acoustic domain. ANC is a deterministic application that requires a real-time operating system to respond to the input with precisely timed output. To have an effective ANC system, the processing time has to be less than 0.125 ms at 8 KHz sampling rate.

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