Temporal Paul wavelet analysis for phase retrieval using shadow moire technique

H. Niu, C. Quan, C. Tay
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Abstract

Temporal Paul wavelet analysis for instantaneous phase extraction using shadow moire technique is proposed. Unlike the Morlet wavelet, the Paul wavelet has less restriction on the adjustment of wavelet parameters and can provide an optimal time and frequency resolution for a particular application by selecting the proper parameters. The Paul wavelet is a complex wavelet and is suitable for processing the temporal intensity data obtained from the shadow moire technique for the phase retrieval. The proposed method can extract the phase information related to the state of the dynamic object at every instant in temporal domain. The phase information is associated to the displacement, three-dimensional (3D) surface-profile and the instantaneous state of the dynamic object. In addition, the instantaneous frequency of vibrating object can be obtained using the scale of the wavelet ridge by direct integration without temporal and spatial phase unwrapping. Thus the phase unwrapping error can be avoided. An experiment is conducted on the central loaded beam to demonstrate the validity of the proposed technique.
基于阴影云纹技术的时域保罗小波分析相位恢复
提出了一种基于时域保罗小波分析的阴影云纹瞬时相位提取方法。与Morlet小波不同,Paul小波对小波参数调整的限制较少,可以通过选择适当的参数为特定应用提供最佳的时间和频率分辨率。保罗小波是一种复小波,适合于对阴影云纹技术得到的时间强度数据进行相位反演。该方法可以在时域中提取与动态目标状态相关的相位信息。相位信息与位移、三维(3D)表面轮廓和动态物体的瞬时状态相关联。此外,在不进行时空相位解包裹的情况下,利用小波脊的尺度直接积分可以得到振动物体的瞬时频率。这样就可以避免相位展开错误。在中心受压梁上进行了实验,验证了该方法的有效性。
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