Understanding multiple-input multiple-output active noise control from a perspective of sampling and reconstruction

Shi, Chuang; Li, Huiyong; Shi, Dongyuan; Lam, Bhan; Gan, Woon‐Seng

doi:10.1109/apsipa.2017.8282013

Cited by 7 publications

(4 citation statements)

References 24 publications

(26 reference statements)

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“…This section aims to derive the power spectral density of the residual error in (14). Since the disturbance and reference are energy signal, the auto-correlation function of ( 14) is derived as…”

Section: Appendix B Power Spectral Density Of the Residual Errormentioning

confidence: 99%

“…Although ANC is commonly used in noise-cancelling headsets [4], [5] and modern automobiles [6]- [9], its application in larger threedimensional spaces has been limited [10], [11]. To effectively attenuate broadband noise in a large space, multichannel ANC with long control filters and high sample rate are usually required [12]- [14]. In these multichannel implementations, however, high-performance processors, such as multicore DSP processors, FPGAs [15], [16], or GPUs [17] are required, which undoubtedly increases implementation costs and complicates the programming effort.…”

Section: Introductionmentioning

confidence: 99%

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Feedforward Selective Fixed-filter Active Noise Control: Algorithm and Implementation

Shi

Gan

Lam

et al. 2020

IEEE/ACM Trans. Audio Speech Lang. Process.

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Conventional real-time active noise control (ANC) usually employs the adaptive filtered-x least mean square (FxLMS) algorithm to approach optimum coefficients for the control filter. However, lengthy training is usually required, and the perceived noise reduction is not immediately realized. Motivated by the practical implementation, we propose a selective fixed-filter active noise control (SFANC) algorithm, which selects a pre-trained control filter to attenuate the detected primary noise rapidly. On top of improved robustness, the complexity analysis reveals that SFANC appears to be more efficient. The SFANC algorithm chooses the most suitable control filter based on the frequency-band-match approach implemented in a partitioned frequency-domain filter. Through simulations, SFANC is shown to exhibit a satisfactory response time and steady-state noise reduction performance, even for time-varying noise and real nonstationary disturbance.

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Section: Appendix B Power Spectral Density Of the Residual Errormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Feedforward Selective Fixed-filter Active Noise Control: Algorithm and Implementation

Shi

Gan

Lam

et al. 2020

IEEE/ACM Trans. Audio Speech Lang. Process.

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“…Active noise control (ANC), a technique widely implemented in consumer headphones and automobiles, [1][2][3][4][5][6][7][8][9][10] is increasingly adapted for larger spaces, such as in room interiors, to tackle complex urban noises. [11][12][13][14][15][16][17] The feedforward ANC system precisely actuates the "anti-noise," which destructively attenuates the disturbance, based on a priori and a posteriori information from sensors. 18 In most ANC applications, however, the "quiet zone" is localized around the monitoring "error sensor" that provides a posteriori information to the adaptive algorithm.…”

Section: Introductionmentioning

confidence: 99%

Feedforward multichannel virtual-sensing active control of noise through an aperture: Analysis on causality and sensor-actuator constraints

Shi

Gan

Lam

et al. 2020

The Journal of the Acoustical Society of America

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The multichannel implementation of the auxiliary-filter-based virtual-sensing (AF-VS) technique for active noise control applications is revisited and realized in the paper. Frequency-domain analysis based on random primary noise proves that the multichannel virtual-sensing active noise control (MVANC) technique can achieve optimal control at the desired virtual locations even if the signals at the physical and virtual microphones are not causally related. Further analysis on a number of sensor-actuator configurations shows that the MVANC technique achieves optimal control at the desired locations as long as the number of secondary sources does not exceed that of the physical error microphones. Furthermore, the simulations with measured transfer functions and real-time experiments conducted on a four-channel system validate the frequency domain analyses. V

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“…Conversely, the global approach requires the attenuation of a large free space (e.g., the entire room, large dimension duct). In this case, multichannel ANC is implemented to gain a lager quiet zone through multiple secondary sources and error microphones [13,[21][22][23][24][25][26][27][28][29][30]. The block diagram of a multichannel ANC system is shown in Fig.…”

Section: Multichannel Structurementioning

confidence: 99%

Algorithms and implementations to overcome practical issues in active noise control systems

Shi¹

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The contributions of the co-authors are as follows:I wish to express my most enormous gratitude to my supervisor, Professor Gan Woon Seng, for his patient and support in overcoming numerous obstacles throughout my Ph.D. His enthusiasm has cultivated a vibrant and conducive research environment, which provides us plenty of opportunities to advance my research.Numerous people have helped me throughout the pursuit of my Ph.D., and I would like to recognize their contributions and thanks to them as follows:• Professor Shi Chuang for his guidance and assistance in the conduct of academic research and technical writing.• Dr. Lam Bhan for his help in experiments and technical writing.• Dr. He Jianjun for his assistance in the initial setup of the test chamber and the experiment.

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Understanding multiple-input multiple-output active noise control from a perspective of sampling and reconstruction

Cited by 7 publications

References 24 publications

Feedforward Selective Fixed-filter Active Noise Control: Algorithm and Implementation

Feedforward Selective Fixed-filter Active Noise Control: Algorithm and Implementation

Feedforward multichannel virtual-sensing active control of noise through an aperture: Analysis on causality and sensor-actuator constraints

Algorithms and implementations to overcome practical issues in active noise control systems

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