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Yijing Chu, Ming Wu, Hongling Sun, Jun Yang and Mingyang Chen
Active noise control (ANC) systems usually involve a large number of loudspeakers and error microphones in order to achieve noise reduction over an extended region of space. Although fundamentals of ANC theory and principles of ANC methods have been well...
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Jihui Zhang, Thushara D. Abhayapala, Wen Zhang and Prasanga N. Samarasinghe
In this paper, we investigate the maximum active noise control performance over a three-dimensional (3-D) spatial space, for a given set of secondary sources in a particular environment. We first formulate the spatial active noise control (ANC) problem i...
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Ilaria Ronconi, Roberta Salierno, Ling Liu, Andrea Giglio, Francesco Ripamonti and Ingrid Paoletti
The limitations of active noise control (ANC) in coping with low frequencies and of passive noise control (PNC) in coping with middle-high frequencies are objects of research that present the potentialities of hybrid noise control (HBC). It aims at combi...
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Jun Yuan, Qiang Zhao, Wei Wang, Xiangsheng Meng, Jun Li and Qin Li
As a typical active noise control algorithm, Filtered-x Least Mean Square (FxLMS) is widely used in the field of audio denoising. In this study, an audio denoising coprocessor based on Retrenched Injunction System Computer-V (RISC-V), a custom instructio...
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Sang-Kwon Lee, Seungmin Lee, Jiseon Back and Taejin Shin
This paper presents a novel active noise cancellation (ANC) method to reduce the engine noise inside the cabin of a car. During the last three decades, many methods have been developed for the active control of a quasi-stationary narrowband sinusoidal si...
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Yan Liu and Zhichun Lei
Mitigating low-frequency noise in various industrial applications often involves the use of the filter-x least mean squares (FxLMS) algorithm, which relies on the mean square error criterion. This algorithm has demonstrated effectiveness in reducing nois...
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Yongjie Zhuang and Yangfan Liu
In commercial non-adaptive active noise control (ANC) applications, an IIR filter structure is often used to reduce real-time computations. On the contrary, an FIR filter structure is usually preferred in the filter design phase because the FIR filter de...
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Jun Yuan, Jun Li, Anfu Zhang, Xiangdong Zhang and Jia Ran
This paper presents an algorithm structure for an active noise control (ANC) system based on an improved equation error (EE) model that employs the offline secondary path modeling method. The noise of a compressor in a gas station is taken as an example ...
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Wenzhao Zhu, Shengguo Shi, Lei Luo and Jinwei Sun
This work is proposed for air-conditioner systems in a metro line train cabin. More exactly, the noise produced by rotating machines is the main Gaussian noise. While the train is moving, the friction between wheels and rails provide impulsive noise. The...
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Weige Tao, Yue Ma, Shuyan Xiao, Qin Cheng, Yongxing Wang and Zhengyu Chen
Environmental noise causes enormous harm to human health. This research suggests an active noise control (ANC) system based on the cuckoo search (CS) algorithm to reduce indoor noise pollution. The indoor environment?s ANC is more complicated than the co...
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Liming Ying, Jinwei Wang, Qin Liu and Donghui Wang
Active noise control (ANC) technology can be able to reduce the low frequency noise effectively, and has been widely applied in limited enclosed equipment, such as cars, aircraft cockpits, and headphones, etc. Compared with the traditional noise reductio...
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Muhammad Tahir Akhtar
It is well-known that performance of the classical algorithms for active noise control (ANC) systems severely degrades when implemented for controlling the impulsive sources. The objective of this paper is to propose a new recursive least squares (RLS) a...
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Feiran Yang, Yin Cao, Ming Wu, Felix Albu and Jun Yang
This paper presents a comprehensive overview of the frequency-domain filtered-x least mean-square (FxLMS) algorithms for active noise control (ANC). The direct use of frequency-domain adaptive filters for ANC results in two kinds of delays, i.e., delay i...
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