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Classification of flaw by adaptive filtering deconvolution of ultrasonic backscattering echo 被引量:1
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作者 JIAN Xiaoming LI Mingxuan(Institute of Acoustics, Chinese Academy of Sciences Beijing 100080) 《Chinese Journal of Acoustics》 1999年第2期171-179,共9页
A convolution model of flaw scattering echoes and an adaptive filtering deconvolution method are presented. The effect of the method is analyzed by simulating a given system. By deconvolution, the influence of the tra... A convolution model of flaw scattering echoes and an adaptive filtering deconvolution method are presented. The effect of the method is analyzed by simulating a given system. By deconvolution, the influence of the transducer on echoes is reduced greatly and the flaw features stand out more clearly in the deconvolved echoes than in flaw echoes themselves. flaw echo signals of 18 flaw samples are processed by adaptive filtering deconvolution. As a result, flaws are classified successfully 展开更多
关键词 classification of flaw by adaptive filtering deconvolution of ultrasonic backscattering echo
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