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Iberoamerican Congress on Pattern Recognition

CIARP 2005: Progress in Pattern Recognition, Image Analysis and Applications pp 663–670Cite as

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

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

  • Roberto H. Herrera18,
  • Eduardo Moreno19,
  • Héctor Calas19 &
  • …
  • Rubén Orozco20 
  • Conference paper
  • 1054 Accesses

Part of the Lecture Notes in Computer Science book series (LNIP,volume 3773)

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.

Keywords

  • Impulse Response
  • Wavelet Coefficient
  • Wavelet Domain
  • Wiener Filter
  • Ultrasonic Signal

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Author information

Authors and Affiliations

  1. University of Cienfuegos, Cuatro Caminos, Cienfuegos, Cuba

    Roberto H. Herrera

  2. Institute of Cybernetics, Mathematics and Physics (ICIMAF), Havana, Cuba

    Eduardo Moreno & Héctor Calas

  3. Central University of Las Villas, Santa Clara, Cuba

    Rubén Orozco

Authors
  1. Roberto H. Herrera
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  2. Eduardo Moreno
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  3. Héctor Calas
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  4. Rubén Orozco
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Editor information

Editors and Affiliations

  1. Dept. System Engineering and Automation, Universitat Politècnica de Catalunya (UPC) Barcelona, Spain

    Alberto Sanfeliu

  2. Pattern Recognition Group, ICIMAF, Havana, Cuba

    Manuel Lazo Cortés

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© 2005 Springer-Verlag Berlin Heidelberg

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Cite this paper

Herrera, R.H., Moreno, E., Calas, H., Orozco, R. (2005). Blind Deconvolution of Ultrasonic Signals Using High-Order Spectral Analysis and Wavelets. In: Sanfeliu, A., Cortés, M.L. (eds) Progress in Pattern Recognition, Image Analysis and Applications. CIARP 2005. Lecture Notes in Computer Science, vol 3773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11578079_69

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  • DOI: https://doi.org/10.1007/11578079_69

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29850-2

  • Online ISBN: 978-3-540-32242-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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