Boosted Fourier nonlinear filter and boosted even mirror Fourier nonlinear filter for active control of machinery noises

被引：0
|
作者：
Sharma, Arvind Kumar [1 ]
Puri, Amrita [2 ]
机构：
[1] Indian Inst Technol, Dept AI & Data Sci, Jodhpur, Rajasthan, India
[2] Indian Inst Technol, Dept Mech Engn, Jodhpur, Rajasthan, India
来源：
NOISE CONTROL ENGINEERING JOURNAL | 2024年 / 72卷 / 04期
关键词：
CONTROL ALGORITHM;
D O I：
10.3397/1/377223
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
To overcome the limitations of the Fourier nonlinear fi lter and even mirror Fourier nonlinear fi lter-based adaptive algorithms for active noise control, this paper introduces boosted Fourier nonlinear fi lter and boosted even mirror Fourier nonlinear fi lter algorithms. Weight updating equations for the proposed algorithms are derived. Their performance is compared with Fourier nonlinear fi lter and even mirror Fourier nonlinear fi lter. Experimentally recorded bandsaw and compressor noises are utilized for the analysis. The analysis is carried out for (a) linear primary and linear secondary paths, and (b) nonlinear primary path and linear secondary path. Visual inspection of residual noises after control and dB values of residual noises are utilized to understand the performance of the developed algorithms. (c) 2024 Institute of Noise Control Engineering.
引用
收藏
页码：316 / 336
页数：21
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