| Wavelet-based deconvolution of ultrasonic signals in nondestructive evaluation |
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| 作者姓名： | OROZCO Rubén |
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| 作者单位： | Department of Informatics University of Cienfuegos Cienfuegos 59430 Cuba，CEETI Central University of Las Villas Santa Clara 54830 Cuba，Department of Physics Central University of Las Villas Santa Clara 54830 Cuba |
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| 基金项目： | Project (No. PRC 03-41/2003) supported by the Ministry of Con-struction of Cuba |
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| 摘 要： | INTRODUCTION Deconvolution of ultrasonic signals is defined as the solution of the inverse problem of convolving an input signal, known as the system function h(n), with a medium reflectivity function x(n) and can be rep- resented by y(n)=h(n)*x(n) η(n), (1) where y(n) is the measured signal, * denotes the convolution operation and η(n) is the additive noise. Recovering x(n) from the observation y(n) leads to improving the appearance and the axial resolution of the RF-signals by removin…
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| 关 键 词： | 盲反褶积 超声波 信号处理 小波规则化 |
| 收稿时间： | 2006-03-01 |
| 修稿时间： | 2006-07-17 |
Wavelet-based deconvolution of ultrasonic signals in nondestructive evaluation |
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| Roberto Henry Herrera,Rubén Orozco,Manuel Rodriguez.Wavelet-based deconvolution of ultrasonic signals in nondestructive evaluation[J].Journal of Zhejiang University Science,2006,7(10):1748-1756. |
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| Authors: | Roberto Henry Herrera Rubén Orozco Manuel Rodriguez |
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| Institution: | (1) Department of Informatics, University of Cienfuegos, Cienfuegos, 59430, Cuba;(2) CEETI, Central University of Las Villas, Santa Clara, 54830, Cuba;(3) Department of Physics, Central University of Las Villas, Santa Clara, 54830, Cuba |
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| Abstract: | In this paper, the inverse problem of reconstructing reflectivity function of a medium is examined within a blind deconvolution framework. The ultrasound pulse is estimated using higher-order statistics, and Wiener filter is used to obtain the ultrasonic reflectivity function through wavelet-based models. A new approach to the parameter estimation of the inverse filtering step is proposed in the nondestructive evaluation field, which is based on the theory of Fourier-Wavelet regularized deconvolution (ForWaRD). This new approach can be viewed as a solution to the open problem of adaptation of the ForWaRD framework to perform the convolution kernel estimation and deconvolution interdependently. The results indicate stable solutions of the esti- mated pulse and an improvement in the radio-frequency (RF) signal taking into account its signal-to-noise ratio (SNR) and axial resolution. Simulations and experiments showed that the proposed approach can provide robust and optimal estimates of the reflectivity function. |
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| Keywords: | Blind deconvolution Ultrasonic signals processing Wavelet regularization |
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