Blind Deconvolution of Ultrasonic Signals Using High-Order Spectral Analysis and Wavelets

摘要

Defect detection by ultrasonic method is limited by the pulse width.Resolution can be improved through a deconvolution process with a prioriinformation of the pulse or by its estimation. In this paper a regularizationof the Wiener filter using wavelet shrinkage is presented for the estimation ofthe reflectivity function. The final result shows an improved signal to noiseratio with better axial resolution.