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arXiv · 1205.3753

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

Roberto H. Herrera·Eduardo Moreno·Héctor Calas·Rubén Orozco
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Abstract

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.

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Roberto H. Herrera, Eduardo Moreno, Héctor Calas, Rubén Orozco. 2012-02-26. Blind Deconvolution of Ultrasonic Signals Using High-Order Spectral Analysis and Wavelets. https://doi.org/10.1007/11578079_69

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