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dc.contributor.author | Rodríguez Martínez, Alberto | es_ES |
dc.contributor.author | Salazar Afanador, Addisson | es_ES |
dc.contributor.author | Vergara Domínguez, Luís | es_ES |
dc.date.accessioned | 2015-12-23T12:51:29Z | |
dc.date.available | 2015-12-23T12:51:29Z | |
dc.date.issued | 2012-09 | |
dc.identifier.issn | 0165-1684 | |
dc.identifier.uri | http://hdl.handle.net/10251/59174 | |
dc.description.abstract | In this paper we study the problem of automatic detection of ultrasonic echo pulses in a grain noise background considering split-spectrum (SS) algorithms as sub-optimum solutions. First, SS algorithms are reformulated following an algebraic approach which is more appropriate from the perspective of automatic detection. Then, recombination methods will be modified according to the previous reformulation. We will consider some of the popular methods based in the phase observation (Polarity Thresholding and Scaled Polarity Thresholding) and in the order statistics (Minimization, Normalized Minimization and Frequency Multiplication). Different experiments with simulated and real data will support our theoretical analysis, and will show the advantages of the Frequency Multiplication method. Derivation of the formulas of the probability of detection and the probability of false alarm in every detector are included in the paper. (C) 2012 Elsevier B.V. All rights reserved. | es_ES |
dc.description.sponsorship | This work has been supported by the Ministerio de Fomento (Spain), the Ministerio de Ciencia e Innovacion (Spain) and FEDER funds under the projects T39/2006, TEC2008-06728. Also partially funded by Generalitat Valenciana (Spain) under program PROMETEO 2010/040. | en_EN |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Signal Processing | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Non-destructive testing | es_ES |
dc.subject | Automatic detection | es_ES |
dc.subject | Split-spectrum | es_ES |
dc.subject.classification | TEORIA DE LA SEÑAL Y COMUNICACIONES | es_ES |
dc.title | Analysis of split-spectrum algorithms in an automatic detection framework | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.sigpro.2012.03.005 | |
dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//TEC2008-06728/ES/COMUNICACIONES INALAMBRICAS MULTI-HOP EN REDES HETEROGENEAS DE COMUNICACIONES MOVILES BEYOND 3G/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//T39%2F2006/ES/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/GVA//PROMETEO%2F2010%2F040/ | es_ES |
dc.rights.accessRights | Cerrado | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions | es_ES |
dc.description.bibliographicCitation | Rodríguez Martínez, A.; Salazar Afanador, A.; Vergara Domínguez, L. (2012). Analysis of split-spectrum algorithms in an automatic detection framework. Signal Processing. 92(9):2293-2307. https://doi.org/10.1016/j.sigpro.2012.03.005 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.1016/j.sigpro.2012.03.005 | es_ES |
dc.description.upvformatpinicio | 2293 | es_ES |
dc.description.upvformatpfin | 2307 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 92 | es_ES |
dc.description.issue | 9 | es_ES |
dc.relation.senia | 234700 | es_ES |
dc.identifier.eissn | 1872-7557 | |
dc.contributor.funder | Ministerio de Ciencia e Innovación | es_ES |
dc.contributor.funder | Generalitat Valenciana | es_ES |
dc.contributor.funder | Ministerio de Fomento | es_ES |