1 Ocak 2010 Konferans bildirisi Açık Erişim

Yoldemir, Ahmet Burak; Sezgin, Mehmet

Citation Style Language JSON

{
  "URL": "https://aperta.ulakbim.gov.tr/record/92835", 
  "abstract": "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.", 
  "author": [
    {
      "family": "Yoldemir", 
      "given": " Ahmet Burak"
    }, 
    {
      "family": "Sezgin", 
      "given": " Mehmet"
    }
  ], 
  "id": "92835", 
  "issued": {
    "date-parts": [
      [
        2010, 
        1, 
        1
      ]
    ]
  }, 
  "title": "Real-time Buried Object Detection Using LMMSE Estimation", 
  "type": "paper-conference"
}