Browsing by Author "Kabaoğlu, Nihat"
Now showing items 1-7 of 7
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EM based Stochastic maximum likelihood approach for localization of near-field sources in 3-D
Kabaoğlu, Nihat; Çırpan, Hakan Ali; Paker, Selçuk (Walter De Gruyter Gmbh, 2004)The goal of this paper is to estimate the locations of unknown sources in 3-D space from the data collected by a 2-D rectangular array. Various studies employing different estimation methods under near-field and far-field ... -
Near field parameter estimation of moving sources with recursive expectation maximization algorithm
Cekli, Serap; Cekli, Erdinc; Kabaoğlu, Nihat; Cirpan, Hakan Ali (IEEE, 2006)In this paper maximum likelihood (ML) estimator is proposed for the joint estimation of the direction of arrival (DOA) and range parameters of moving sources in the near-field of the antenna array. ML estimation algorithm ... -
Near field parameter estimation of moving sources with recursive expectation maximization algorithm [Yinelemeli beklenti/en büyükleme algoritması ile hareketli kaynakların yakın-alan parametrelerinin kestirimi]
In this paper maximum likelihood (ML) estimator is proposed for the joint estimation of the direction of arrival (DOA) and range parameters of moving sources in the near-field of the antenna array. ML estimation algorithm ... -
Support vector machines based target tracking techniques
Özer, Sedat; Çırpan, Hakan Ali; Kabaoğlu, Nihat (IEEE, 2006)This paper addresses the problem of aplying powerful statistical pattern classification algorithms based on kernels to target tracking. Rather than directly adapting a recognizer we develop a localizer directly using the ... -
Support vector machines based target tracking techniques [Destek vektör makineleri tabanlı hedef takip yöntemleri]
Özer, Sedat; Cirpan, Hakan Ali; Kabaoğlu, Nihat (2006)This paper addresses the problem of aplying powerful statistical pattern classification algorithms based on kernels to target tracking. Rather than directly adapting a recognizer we develop a localizer directly using the ... -
Support vector regression for surveillance purposes
Özer, Sedat; Çırpan, Hakan Ali; Kabaoğlu, Nihat (Springer-Verlag Berlin, 2006)This paper addresses the problem of applying powerful statistical pattern classification algorithm based on kernel functions to target tracking on surveillance systems. Rather than directly adapting a recognizer we develop ... -
Unconditional maximum likelihood approach for localization of near-field sources in 3-D space
Kabaoğlu, Nihat; Çırpan, Hakan Ali; Paker, Selçuk (IEEE, 2004)Since maximum likelihood (ML) approaches have better resolution performance than the conventional localization methods in the presence of less number and highly correlated source signal samples and low signal to noise ...