Research on the feature extraction based on the acoustic property of target is the main method to the target classification 利用目标声振动信号进行特征提取是目标识别的有效手段。
Ceramic material had better performance than steel and copper and the shorter the stack , the lower the initial temperature for oscillation 而从热声振动的方式来看,强制振动比自激振动具有更低的起振温度。
Based on these types of acoustic / vibration sensor , a novel coupling acoustic / vibration optic fiber sensor has been developed 本课题在这些类型的声振动传感器的基础上,研制出了独具特色的耦合型声振动光纤传感器。
Because there are defaults in the classic methods of acoustic signal analysis , a new method based on the wavelet analysis is brought forward in the paper 针对传统的声信号分析方法在信号特征提取方面存在的缺陷,本文提出了一种基于小波变换的声振动信号的特征提取方法。