Fusion of multi-frequency eddy current signals-by using wavelet analysis method

L. Q. Li, K. Tsukada, K. Hanasaki, Zheng Liu
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引用次数: 7

Abstract

This paper presents a novel scheme to fuse one-dimensional multi-frequency eddy current signals by using multiresolution discrete wavelet analysis method. This technique consists of three steps. First, raw signals are preprocessed and decomposed into approximations and details at different resolution levels. The discrete wavelet transform is adopted at this stage. Then, several fusion processes are implemented in the coefficients domain. Finally, the inverse discrete wavelet transform is achieved to get the fusion result. In this technique, we develop a new mask-signal-modulated fusion algorithm to fuse in coefficients domain. It is performed and compared with other fusion methods based on the criteria of signal-to-noise ratio of the fused result. From our experiments, it demonstrates a better performance and shows a promising application on the two-dimensional multi-frequency eddy current signals.
利用小波分析方法对多频涡流信号进行融合
提出了一种利用多分辨率离散小波分析方法融合一维多频涡流信号的新方案。这个技巧包括三个步骤。首先,对原始信号进行预处理,并将其分解为不同分辨率下的近似值和细节。这一阶段采用离散小波变换。然后,在系数域中实现若干融合处理。最后,通过离散小波逆变换得到融合结果。在该技术中,我们提出了一种新的掩模信号调制融合算法,用于系数域的融合。以融合结果的信噪比为准则,对该方法进行了验证,并与其他融合方法进行了比较。实验结果表明,该方法具有较好的性能,在二维多频涡流信号处理中具有广阔的应用前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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