Wavelet-based deconvolution of ultrasonic signals in nondestructive evaluation

查看全文 作　　者：HERRERA Roberto [1]Henry;OROZCO [2]Rubén;RODRIGUEZ [3]Manuel 机构地区：[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 出　　处：《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》索引2006年第7卷第10期,共9页 基　　金：Project (No. PRC 03-41/2003) supported by the Ministry of Con-struction of Cuba 摘　　要：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. 关 键 词：盲反褶积 超声波 信号处理 小波规则化