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Unconditional maximum likelihood approach for localization of near-field sources in 3-D space
(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 ...
Near field parameter estimation of moving sources with recursive expectation maximization algorithm
(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 ...
Non-process and chemical-free offset printing plate
(2009)
[Abstract Not Available]
Near field parameter estimation of moving sources with recursive expectation maximization algorithm [Yinelemeli beklenti/en büyükleme algoritması ile hareketli kaynakların yakın-alan parametrelerinin kestirimi]
(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 ...
Simple and accurate cell macromodels for the simulations of Cellular Neural Networks
(AVES YAYINCILIK, 2002)
In this paper, two simple and accurate cell macromodels for PSPICE simulations of Cellular Neural
Networks (CNNs) are designed. Firstly, a brief information about CNNs and their benefits are
introduced. Then the nonlinear ...