主动噪声控制
控制理论(社会学)
噪音(视频)
最小均方滤波器
声学
控制(管理)
计算机科学
物理
工程类
自适应滤波器
降噪
电子工程
人工智能
图像(数学)
作者
Rafaela Pereira Taqueti Silva,Alexandre Marks Löw,Herbert Martins Gomes
标识
DOI:10.1177/10775463251369919
摘要
Prolonged noise exposure can cause problems related to hearing health, resulting in an attention deficit and eventually work accidents. This paper evaluates two methods of active noise control (ANC) in ducts: the Filtered-x LMS and a modified Filtered-u LMS algorithm that improves sound path identification by the optimization of the filters parameters. The ANC system is validated with the design and implementation of an experimental setup. A code was developed in MATLAB software language for microphone signal acquisition and speaker control. In general, the proposed control system obtained attenuations that depend on the type of noise evaluated (monotonal, multitonal, or broadband). The attenuation levels reach 23 dB for the monotonal test; however, in the tests for white noise, the system did not present pronounced attenuation.
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