@prefix dcat: <http://www.w3.org/ns/dcat#> .
@prefix dct: <http://purl.org/dc/terms/> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
@prefix vcard: <http://www.w3.org/2006/vcard/ns#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-tel-00927102v1> a dcat:Dataset ;
    dct:description """
              This thesis is devoted to object localization, using high resolution methods, in a large band and multipath background. From array processing algorithms adapted to time of arrival estimation, we propose a new method for the localization of real (broadcasting) or virtual (reflective) sources of a known, large band signal. The originality lays in the incoherent way of treating data. On each ensor, time of arrival are estimated. Then, they are linked to a source, enabling its localization. However, this methods suffers from the signals coherence. That is why we propose a frequential smoothing preprocessing that helps lowering this correlation while maintaining an optimum resolution. The performances of the whole method are shown on both simulated and experimental data.
            """ ;
    dct:identifier "tel-00927102" ;
    dct:issued "2026-05-07T13:21:51.929523"^^xsd:dateTime ;
    dct:language "fr" ;
    dct:modified "2026-05-07T13:21:51.929528"^^xsd:dateTime ;
    dct:publisher <https://rec.harvest-normandie.data4citizen.com/organization/cce9db95-46d9-4dc2-84b6-764215d0a002> ;
    dct:title "Wideband sources characterisation in the time domain without constraint on the number of sensors" ;
    dcat:contactPoint [ a vcard:Organization ;
            vcard:fn "CCSD" ] ;
    dcat:distribution <https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-tel-00927102v1/resource/be114a8e-01a0-4fad-b1e8-052495379fef> ;
    dcat:keyword "frequential-smoothing",
        "high-resolution-method",
        "infoeu-reposemanticsdoctoralthesis",
        "infoinfo-tscomputer-science-cssignal-and-image-processing",
        "lissage-frequentiel",
        "localisation-dobjets",
        "methode-haute-resolution",
        "object-localization",
        "reseau-de-capteurs",
        "sensor-array",
        "signal-processing",
        "spisignalengineering-sciences-physicssignal-and-image-processing",
        "theses",
        "traitement-du-signal" ;
    dcat:landingPage <https://theses.hal.science/tel-00927102> .

<https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-tel-00927102v1/resource/be114a8e-01a0-4fad-b1e8-052495379fef> a dcat:Distribution ;
    dct:format "HTML" ;
    dct:issued "2026-05-07T13:21:51.937463"^^xsd:dateTime ;
    dct:modified "2026-05-07T13:21:51.913590"^^xsd:dateTime ;
    dct:title "Wideband sources characterisation in the time domain without constraint on the number of sensors" ;
    dcat:accessURL <https://theses.hal.science/tel-00927102> .

<https://rec.harvest-normandie.data4citizen.com/organization/cce9db95-46d9-4dc2-84b6-764215d0a002> a foaf:Agent ;
    foaf:name "test_moissonnage_selune" .

<https://theses.hal.science/tel-00927102> a foaf:Document .