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dc.contributor.authorDiamant, Roee
dc.contributor.authorCampagnaro, Filippo
dc.contributor.authorde Filippo de Grazia, Michele
dc.contributor.authorTestolin, Alberto
dc.contributor.authorSanjuan Calzado, Violeta
dc.contributor.authorZorzi, Michele
dc.contributor.authorCasari, Paolo 
dc.date.accessioned2021-07-13T09:30:00Z
dc.date.available2021-07-13T09:30:00Z
dc.date.issued2017-09-03
dc.identifier.urihttp://hdl.handle.net/20.500.12761/405
dc.description.abstractIn this paper, we are interested in finding whether a statistical relationship exists between underwater acoustics and optics, despite the different physics that govern these technologies. Besides the theoretical interest of such a relationship, predicting the quality of the optical links through acoustics is relevant for multimodal communications. Our study is based on a large dataset acquired during the NATO ALOMEX 2015 expedition. The dataset consists of several acoustic and optical link characteristics measured at multiple locations, reflecting a diversity of sea environments. Our results, based on a systematic machine learning analysis, show a strong correlation between the properties of acoustic links and the reliability of optical communications. Potentially, this can be leveraged to predict the state of underwater optical links.
dc.language.isoeng
dc.titleExploring the statistical relation between the underwater acoustic and optical channelsen
dc.typeconference object
dc.conference.date3-8 September 2017
dc.conference.placeSkiathos, Greece
dc.conference.titleUnderwater Acoustics Conference & Exhibition (UACE 2017)*
dc.event.typeconference
dc.pres.typepaper
dc.type.hasVersionVoR
dc.rights.accessRightsopen access
dc.subject.keywordUnderwater acoustic communications
dc.subject.keywordUnderwater optical communications
dc.subject.keywordMultimodal systems
dc.subject.keywordMachine learning
dc.subject.keywordSea Experiment
dc.description.refereedTRUE
dc.description.statuspub
dc.eprint.idhttp://eprints.networks.imdea.org/id/eprint/1620


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