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dc.contributor.authorLópez-Otero, Paula
dc.contributor.authorDocío-Fernández, Laura
dc.contributor.authorCardenal-López, Antonio
dc.date.accessioned2018-10-11T14:14:25Z
dc.date.available2018-10-11T14:14:25Z
dc.date.issued2018-09-17
dc.identifier.citationLopez-Otero, P.; Docio-Fernandez, L.; Cardenal-López, A. Using Discrete Wavelet Transform to Model Whistle Contours for Dolphin Species Classification. Proceedings 2018, 2, 1183.es_ES
dc.identifier.issn2504-3900
dc.identifier.urihttp://hdl.handle.net/2183/21151
dc.descriptionTrátase dun resumo estendido da ponencia
dc.description.abstract[Abstract] This work proposes the use of features based on the discrete wavelet transform (DWT) for dolphin species classification. These features are compared with other previously used in the literature, and the experiments carried out in a database featuring four different species of cetaceans (three dolphins and a pilot whale) showed that the use of DWT features led to improved classification performance.es_ES
dc.description.sponsorshipMinisterio de Economía y Competitividad; TIN2015-64282-Res_ES
dc.description.sponsorshipMinisterio de Economía y Competitividad; TEC2015-65345-Pes_ES
dc.description.sponsorshipXunta de Galicia; GPC ED431B 2016/035es_ES
dc.description.sponsorshipXunta de Galicia; GRC2014/024es_ES
dc.description.sponsorshipXunta de Galicia; ED431G/04es_ES
dc.description.sponsorshipXunta de Galicia; ED431G/01
dc.language.isoenges_ES
dc.publisherM D P I AGes_ES
dc.relation.urihttps://doi.org/10.3390/proceedings2181183es_ES
dc.rightsAtribución 3.0 Españaes_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectCetacean classificationes_ES
dc.subjectWhistle contoures_ES
dc.subjectDiscrete wavelet transformes_ES
dc.titleUsing Discrete Wavelet Transform to Model Whistle Contours for Dolphin Species Classificationes_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleProceedingses_ES
UDC.volume18es_ES
UDC.issue2es_ES
UDC.startPage1183.es_ES
dc.identifier.doi10.3390/proceedings2181183
UDC.conferenceTitleProceedings XoveTIC Conference 2018es_ES


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