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Comparison of spread spectrum and pulse signal excitation for split spectrum techniques composite imaging

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Comparison of spread spectrum and pulse signal excitation for split spectrum techniques composite imaging

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dc.contributor.author Svilainis, L. es_ES
dc.contributor.author Kitov, S. es_ES
dc.contributor.author Rodriguez Martinez, Alberto es_ES
dc.contributor.author Vergara Domínguez, Luís es_ES
dc.contributor.author Dumbrava, V. es_ES
dc.contributor.author Chaziachmetovas, A: es_ES
dc.date.accessioned 2015-11-03T11:11:55Z
dc.date.available 2015-11-03T11:11:55Z
dc.date.issued 2012
dc.identifier.issn 1757-8981
dc.identifier.uri http://hdl.handle.net/10251/56924
dc.description.abstract [EN] Ultrasonic imaging of composites was investigated. Glass and carbon fiber reinforced plastic produced by resin transfer molding and prepreg forming were analyzed. In some of the samples air bubbles were trapped during RTM (resin transfer molding) process and interlayer gaps were present in prepreg technology samples. One of the most expected techniques to apply in such case is the Split Spectrum processing. On the other hand such signals require specific processing to reliably reconstruct the temporal position of the defect reflection. Correlation processing can be used for signal compression or Wiener filtering can be applied for spectral content equalisation. Pulse signals are simple to generate, but lack the possibility to alter the signal’s spectrum shape. Spread spectrum signals offer a powerful tool for signal energy over frequency band increase and resolution enhancement. CW (continuous wave) burst has high energy but lacks the bandwidth needed for SSP (spread spectrum processing). The aim of the investigation was to compare the performance of the above signals in case of composite imaging, when various Split Spectrum Processing techniques are used with preceding Wiener processing for spectral content compensation. Resulting composite signals and images obtained are presented. Structural noise removal performance was evaluated as Receiver Operating Characteristics (ROC). es_ES
dc.description.sponsorship This research (acquisition system and spread spectrum signals) was funded by a grant (No. MIP058/2012) from the Research Council of Lithuania. SSP part was supported by PROMETEO 2010/40.
dc.language Inglés es_ES
dc.publisher IOP Publishing: Conference Series es_ES
dc.relation LMT/MIP- 058/2012 es_ES
dc.relation GV/PROMETEO/2010/40 es_ES
dc.relation.ispartof IOP Conference Series: Materials Science and Engineering es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Ultrasonic imaging of composites es_ES
dc.subject Structural noise removal performance es_ES
dc.subject Receiver Operating Characteristics es_ES
dc.subject.classification TEORIA DE LA SEÑAL Y COMUNICACIONES es_ES
dc.title Comparison of spread spectrum and pulse signal excitation for split spectrum techniques composite imaging es_ES
dc.type Artículo es_ES
dc.type Comunicación en congreso
dc.identifier.doi 10.1088/1757-899X/42/1/012007
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions es_ES
dc.description.bibliographicCitation Svilainis, L.; Kitov, S.; Rodriguez Martinez, A.; Vergara Domínguez, L.; Dumbrava, V.; Chaziachmetovas, A. (2012). Comparison of spread spectrum and pulse signal excitation for split spectrum techniques composite imaging. IOP Conference Series: Materials Science and Engineering. 42:5-9. doi:10.1088/1757-899X/42/1/012007 es_ES
dc.description.accrualMethod Senia es_ES
dc.relation.conferencename International Symposium of Ultrasound in the Control of Industrial Processes (UCIP)
dc.relation.conferencedate April 18-20, 2012
dc.relation.conferenceplace Madrid, Spain
dc.relation.publisherversion http://dx.doi.org/10.1088/1757-899X/42/1/012007 es_ES
dc.description.upvformatpinicio 5 es_ES
dc.description.upvformatpfin 9 es_ES
dc.type.version info:eu repo/semantics/publishedVersion es_ES
dc.description.volume 42 es_ES
dc.relation.senia 235916 es_ES
dc.identifier.eissn 1757-899X
dc.contributor.funder Generalitat Valenciana (GV)
dc.contributor.funder Research Council of Lithuania (LMT)


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