1 Ocak 2010 Konferans bildirisi Açık Erişim

Yoldemir, Ahmet Burak; Sezgin, Mehmet

Dublin Core

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  <dc:creator>Yoldemir, Ahmet Burak</dc:creator>
  <dc:creator>Sezgin, Mehmet</dc:creator>
  <dc:date>2010-01-01</dc:date>
  <dc:description>We present the application of linear minimum mean square error (LMMSE) estimation to GPR data for achieving buried object detection. Without employing any empirical assumptions, nonstationary form of Wiener-Hopf equations is applied to GPR signals to estimate the next sample in normal conditions. A large deviation from this estimation indicates the presence of a buried object. The technique is causal, which allows it to be used in real-time applications. Our approach is theoretically optimal in linear minimum mean square error sense, and it is also validated with the tests that are carried out on a comprehensive data set of GPR signals.</dc:description>
  <dc:identifier>https://aperta.ulakbim.gov.trrecord/92835</dc:identifier>
  <dc:identifier>oai:zenodo.org:92835</dc:identifier>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>http://www.opendefinition.org/licenses/cc-by</dc:rights>
  <dc:title>Real-time Buried Object Detection Using LMMSE Estimation</dc:title>
  <dc:type>info:eu-repo/semantics/conferencePaper</dc:type>
  <dc:type>publication-conferencepaper</dc:type>
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