Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Ji, Junwei"'
Virtual sensing (VS) technology enables active noise control (ANC) systems to attenuate noise at virtual locations distant from the physical error microphones. Appropriate auxiliary filters (AF) can significantly enhance the effectiveness of VS appro
Externí odkaz:
http://arxiv.org/abs/2409.05470
Computation-efficient Virtual Sensing Approach with Multichannel Adjoint Least Mean Square Algorithm
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 often presents challenges due to physical limitations. Virtual sensing te
Externí odkaz:
http://arxiv.org/abs/2405.14158
Active Noise Control (ANC) is a widely adopted technology for reducing environmental noise across various scenarios. This paper focuses on enhancing noise reduction performance, particularly through the refinement of signal quality fed into ANC syste
Externí odkaz:
http://arxiv.org/abs/2405.12496
This paper proposes an online secondary path modelling (SPM) technique to improve the performance of the modified filtered reference Least Mean Square (FXLMS) algorithm. It can effectively respond to a time-varying secondary path, which refers to the
Externí odkaz:
http://arxiv.org/abs/2306.11408
By assigning the massive computing tasks of the traditional multichannel active noise control (MCANC) system to several distributed control nodes, distributed multichannel active noise control (DMCANC) techniques have become effective global noise re
Externí odkaz:
http://arxiv.org/abs/2303.08411
Active noise control (ANC) has been widely utilized to reduce unwanted environmental noise. The primary objective of ANC is to generate an anti-noise with the same amplitude but the opposite phase of the primary noise using the secondary source. Howe
Externí odkaz:
http://arxiv.org/abs/2303.08397
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Due to the slow convergence and poor tracking ability, conventional LMS-based adaptive algorithms are less capable of handling dynamic noises. Selective fixed-filter active noise control (SFANC) can significantly reduce response time by selecting app
Externí odkaz:
http://arxiv.org/abs/2303.05788
Active noise control (ANC) systems can efficiently attenuate low-frequency noises by introducing anti-noises to combine with the unwanted noises. In ANC systems, the filtered-x least mean square (FxLMS) and filtered-X normalized least-mean-square (Fx
Externí odkaz:
http://arxiv.org/abs/2208.08086
Publikováno v:
In Applied Acoustics 1 March 2025 231
Publikováno v:
In Signal Processing September 2024 222