Detection of bulk and leaky acoustic microwaves in piezoelectric crystal by wavelet technique

D. Benatia, M. Benslama
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Abstract

In this paper, we propose a new approach for bulk and leaky detection of an acoustic microwave signal. For this reason, we have used a wavelet transform as a numerical analysis method. The originality of this model consists of the local analysis signal singularities where abrupt events appear and hence access to hidden information by using the scale of this transform as up scaling parameters. These singularities inform us of the presence of bulk and leaky waves.
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基于小波技术的压电晶体体漏声微波检测
本文提出了一种声学微波信号体积和泄漏检测的新方法。因此,我们使用小波变换作为数值分析方法。该模型的新颖之处在于在突发事件出现的地方分析信号的局部奇异点,从而利用该变换的尺度作为上尺度参数获取隐藏信息。这些奇点告诉我们存在体波和漏波。
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