Blind deconvolution of ultrasonic signals using high-order spectral analysis and wavelets

Authors:
Roberto H. Herrera;Eduardo Moreno;Héctor Calas;Rubén Orozco
Affiliations:
University of Cienfuegos, Cuatro Caminos, Cienfuegos, Cuba;Institute of Cybernetics, Mathematics and Physics (ICIMAF), Havana, Cuba;Institute of Cybernetics, Mathematics and Physics (ICIMAF), Havana, Cuba;Central University of Las Villas, Santa Clara, Cuba
Venue:
CIARP'05 Proceedings of the 10th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis and Applications
Year:
2005

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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.