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Deep learning-based Generative Fixed-Filter Active Noise Control: Transferability and implementation

delete2025-08-22
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PRE
AI
Z
Zhengding Luo
J
Junwei Ji
B
Boxiang Wang
D
Dongyuan Shi *
H
Haozhe Ma
W
Woon‐Seng Gan
DOI:10.1016/j.ymssp.2025.113207delete
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摘要

摘要

En 中文
• 基于深度学习的GFANC方法在耳机中实现。 • 该论文从理论上解释了GFANC的可迁移性。 • 仿真和实时实验验证了其可迁移性和有效性。
Keyword:
deep learning
GFANC
transferability
headphone
real-time experiments

期刊

Mechanical Systems and Signal Processing 封面图
Mechanical Systems and Signal Processing
IF:
8.9
论文数:
1.3W
被引数:
6.6W

机构

N
Nanyang Technological University
学者数:
4.9W
论文数: 4.8W
被引数: 8.1W
N
Northwestern Polytechnical University
学者数:
4.6W
论文数: 3.7W
被引数: 5.3W
N
National University of Singapore
学者数:
7.6W
论文数: 6.5W
被引数: 11.4W
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引用论文

引用论文

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Nearest Kronecker product decomposition based multichannel filtered-x affine projection algorithm for active noise control
err2025-02-01
err0
PREAI
errLi, Lei; Wang, Shiyuan; Bhattacharjee, Sankha Subhra; Jensen, Jesper Rindom; Christensen, Mads Graesboll
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