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Efficient algorithm for discrimination of overlapping ultrasonic echoes.
Fortineau, Julien P; Vander Meulen, François; Fortineau, Jérôme; Feuillard, Guy.
Afiliación
  • Fortineau JP; Université François Rabelais de Tours, GREMAN UMR 7347, 3 rue de la chocolaterie, 41000 Blois, France. Electronic address: julien.fortineau@etu.univ-tours.fr.
  • Vander Meulen F; Université François Rabelais de Tours, GREMAN UMR 7347, 3 rue de la chocolaterie, 41000 Blois, France.
  • Fortineau J; INSA Centre Val de Loire, GREMAN UMR 7347, 3 rue de la chocolaterie, 41000 Blois, France.
  • Feuillard G; INSA Centre Val de Loire, GREMAN UMR 7347, 3 rue de la chocolaterie, 41000 Blois, France.
Ultrasonics ; 73: 253-261, 2017 01.
Article en En | MEDLINE | ID: mdl-27697596
We propose a method to identify the different echoes of an overlapped ultrasonic signal. This method is based on an iterative algorithm that compares the experimental signal to a realistic dictionary of trial functions and allows identification of one overlapped echo at each iteration. Adding physical parameters to the dictionary such as sample attenuation and ultrasound beam diffraction allows the method to be applied to various materials and sample geometries. Measurements at 500kHz and 5MHz on a ABS material and a copper plate are reported. The effectiveness and the robustness of the method are studied as a function of time delay between the different echoes. We show that taking into account the experimental set-up and material properties in the development of the dictionary are critical to identifying a round-trip signal when overlapping occurs.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Ultrasonics Año: 2017 Tipo del documento: Article Pais de publicación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Ultrasonics Año: 2017 Tipo del documento: Article Pais de publicación: Países Bajos