Blind Deconvolution of Ultrasonic Signals Using High-Order Spectral   Analysis and Wavelets
  Defect detection by ultrasonic method is limited by the pulse width. Resolution can be improved through a deconvolution process with a priori information of the pulse or by its estimation. In this paper a regularization of the Wiener filter using wavelet shrinkage is presented for the estimation of the reflectivity function. The final result shows an improved signal to noise ratio with better axial resolution. 
Roberto H. Herrera and Eduardo Moreno and H\'ector Calas and Rub\'en   Orozco
cs.IT math.IT