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20242026
most citedSelf-Boosted Weight-Constrained FxLMS: A Robustness Distributed Active Noise Control Algorithm Without Internode Communication

5 citations · 5 across the 17 of their papers we have counts for

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5 papers · 1 filter

eess.SY2024

Preventing output saturation in active noise control: An output-constrained Kalman filter approach

Junwei Ji, Dongyuan Shi, Boxiang Wang +3

The Kalman filter (KF)-based active noise control (ANC) system demonstrates superior tracking and faster convergence compared to the least mean square (LMS) method, particularly in…

eess.SP2024

Transferable Selective Virtual Sensing Active Noise Control Technique Based on Metric Learning

Boxiang Wang, Dongyuan Shi, Zhengding Luo +3

Virtual sensing (VS) technology enables active noise control (ANC) systems to attenuate noise at virtual locations distant from the physical error microphones. Appropriate auxiliar…

eess.SP2024

Computation-efficient Virtual Sensing Approach with Multichannel Adjoint Least Mean Square Algorithm

Boxiang Wang, Junwei Ji, Xiaoyi Shen +2

Multichannel active noise control (ANC) systems are designed to create a large zone of quietness (ZoQ) around the error microphones, however, the placement of these microphones oft…

eess.SP2024

Implementation of the Feedforward Multichannel Virtual Sensing Active Noise Control (MVANC) by Using MATLAB

Boxiang Wang

The multichannel virtual sensing active noise control (MVANC) methodology is an advanced approach that may provide a wide area of silence at specific virtual positions that are dis…

eess.SP2024

Implementation of the Multichannel Filtered Reference Least Mean Square (McFxLMS) Algorithm with an Arbitrary Number of Channels by Using MATLAB

Boxiang Wang

Multichannel filtered reference least mean square (McFxLMS) algorithms are widely utilized in adaptive multichannel active noise control (MCANC) applications. As a critical and hig…