Yazar "Guldogan, M. Burak" seçeneğine göre listele

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    Analysis of Direction Finding Techniques Using a Single Underwater Acoustic Vector Sensor
    (Ieee, 2014) Gunes, Ahmet; Bereketli, Alper; Guldogan, M. Burak
    Underwater acoustic vector sensors (AN'S) are devices which can measure scalar pressure and three dimensional acceleration or particle velocity with only one sensor. Bearing estimation for the target can be accomplished by these four measured scalar values. Algorithms based on closed-form expressions or beamforming can be carried out for direction finding by using the axial projections of the gradient vector of the pressure from the target. In this work, the performances of direction of arrival estimation algorithms for underwater acoustic vector sensors are analyzed in detail under the effects of various error sources such as imperfect projections and ambient noise.
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    Contemporary Approaches on No-Reference Image Quality Assessment Methods: A Comparative Study
    (Turgut Ozal Univ, 2012) Yalman, Yildiray; Guldogan, M. Burak; Sen, I. Ferdi
    Even if many image quality assessment (IQA) methods have been proposed in literature, the poor standardization in the field of quality assessment and the lack of extensive and reliable comparisons of the performance of the different IQA often make the obtained results not very reliable. Basically, there are three IQA types in the literature called as full reference (FR-IQA), reduced reference (RR-IQA) and no reference (NR-IQA). NR-IQA has gained more importance in the last decade. In this paper we aim at comparing the existing NR-IQA methods in terms of quality results. Comparing results show that the current methods results are unrelated for the same images. This situation indicates that a standard should be determined for NR-IQA methods.