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dc.contributor.authorOSMAN, ONUR
dc.contributor.authorAlbora, A. Muhittin
dc.date.accessioned2021-03-02T20:26:41Z
dc.date.available2021-03-02T20:26:41Z
dc.identifier.citationAlbora A. M. , OSMAN O., "Adaptive Exhaustive Search Algorithm (Aesa) For Gravity Anomaly Profile Moddelling", 24th Signal Processing and Communication Application Conference (SIU), Zonguldak, Türkiye, 16 - 19 Mayıs 2016, ss.349-352
dc.identifier.othervv_1032021
dc.identifier.otherav_020380b4-220f-428c-868c-015b2c18ef53
dc.identifier.urihttp://hdl.handle.net/20.500.12627/7299
dc.identifier.urihttps://doi.org/10.1109/siu.2016.7495749
dc.description.abstractIn this paper, we introduce a new modelling technique called Adaptive Exhaustive Search Aigorithm (AESA) to distinguish the density and to compute the accurate location in geophysical section respect to its gravity anomali. Proposed algorithm contains two step; the first one is Approximate Search Aigorithm (ASA) which allows us to find the approximate location and the other one is Exhaustive Search Aigorithm (ESA) that considers all probable model structures in the approximate region. ESA takes very long processing time. To shorten this time, here, we apply ASA, and thus, exhaustive search is more applicable. We use AESA algorithm for synthetic data, synthetic noisy data and real data from Siirt Bouguer anomali map in South-East Turkey. It is determined that the model obtained from the proposed algorithm is very close to the geological observations.
dc.language.isoeng
dc.subjectSinyal İşleme
dc.subjectMühendislik ve Teknoloji
dc.subjectBilgi Sistemleri, Haberleşme ve Kontrol Mühendisliği
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectMühendislik
dc.subjectMÜHENDİSLİK, ELEKTRİK VE ELEKTRONİK
dc.titleAdaptive Exhaustive Search Algorithm (Aesa) For Gravity Anomaly Profile Moddelling
dc.typeBildiri
dc.contributor.departmentİstanbul Arel Üniversitesi , ,
dc.contributor.firstauthorID148443


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