.png){kind=icon}
返回
Feedforward Selective Fixed-Filter Active Noise Control: Algorithm and Implementation
.png){kind=icon}
OA
AI
DOI：10.1109/TASLP.2020.2989582.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
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 pretrained 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 non-stationary disturbance.
Keyword:
Training
Optimized production technology
Frequency control
Feature extraction
Noise reduction
Speech processing
Signal processing algorithms
Active noise control
selective fixed-filter active noise control
frequency-domain filtering
filtered-x least mean square
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
I
IF:
5.1
论文数:
2.6K
被引数:
1.1W
机构
引用论文
Integrated active noise control for open-fit hearing aids with customized filter带定制滤波器的开放式助听器集成有源噪声控制.png)
APPLIED ACOUSTICS
APPLIED ACOUSTICSIF3.6
PREAI
分享收藏分享收藏分享收藏Physical limits on the performance of active noise control through open windows通过开窗进行主动噪声控制的性能的物理限制APPLIED ACOUSTICSOAAI
APPLIED ACOUSTICSIF3.6
OAAI分享收藏
查看更多内容