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Study of Wavelet Packet in the Electromagnetic Acoustic Emission Signal Processing

机译:小波包在电磁声发射信号处理中的研究

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The wavelet packet plays an important role in the signal processing of electromagnetic acoustic emission. It can eliminate signals noise, and basing on it, improves the accuracy of acoustic emission source location. The wavelet packet algorithm is a further breakdown of orthogonal wavelet decomposition; it allows the observation of characteristics of signal transaction in a narrower band, so it increases the analysis resolution. In this paper, we show detail of research on signal decomposition and reconstruction, and how to calculate the time difference, then how to achieve acoustic emission (AE) source location and the improvement on the accuracy of AE source location.
机译:小波包在电磁声发射的信号处理中起着重要的作用。它可以消除信号噪声,并以此为基础,提高声发射源定位的准确性。小波包算法是正交小波分解的进一步细分;它可以在较窄的频带内观察信号传输的特征,因此可以提高分析分辨率。在本文中,我们将详细介绍信号分解和重构的研究,以及如何计算时间差,然后如何实现声发射(AE)定位,以及如何提高AE定位的精度。

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