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改进了自动特征频率提取和自适应阵列信号加权的融合方法,以对异常的机器声音定位进行加权

Zhanxi Zhang1, Youyuan Wang1

  • 1State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, People's Republic of China.

ISA transactions
|December 5, 2023
PubMed
概括

本研究介绍了一种使用特征频率和自适应权重的增强声音定位方法. 这种方法提高了各种声学应用的精度和干扰抑制.

关键词:
适应性权重是适应性的权重.典型的频率特征.机器异常的声音异常的声音麦克风阵列是一系列的麦克风.声音源的本地化 声音源的本地化

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相关概念视频

Aliasing01:18

Aliasing

Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original...
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