Browsing by Author "Öztürk, Cüneyd"
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Convexity properties of detection probability for noncoherent detection of a modulated sinusoidal carrier
Öztürk, Cüneyd; Dülek, B.; Gezici, Sinan (Institute of Electrical and Electronics Engineers, 2018)In this correspondence paper, the problem of noncoherent detection of a sinusoidal carrier is considered in the presence of Gaussian noise. The convexity properties of the detection probability are characterized with respect ... -
Eavesdropper and jammer selection in wireless source localization networks
Öztürk, Cüneyd; Gezici, Sinan (IEEE, 2021-07-26)We consider a wireless source localization network in which a target node emits localization signals that are used by anchor nodes to estimate the target node position. In addition to target and anchor nodes, there can ... -
Eavesdropper selection strategies in wireless source localization networks
Öztürk, Cüneyd; Gezici, Sinan (IEEE, 2020)We consider a wireless source localization network in which eavesdropper nodes aim to estimate the position of a target node. We formulate the problem of selecting a set of N E positions out of N possible positions for ... -
Jamming strategies in wireless source localization systems
Keskin, Musa Furkan; Öztürk, Cüneyd; Bayram, Suat; Gezici, Sinan (IEEE, 2019-08)We consider optimal jamming strategies in wireless source localization systems, where anchor nodes estimate positions of target nodes in the presence of jammers that emit zero-mean Gaussian noise. The Cramér-Rao lower bound ... -
Optimal decision rules for simple hypothesis testing under general criterion involving error probabilities
Dulek, B.; Öztürk, Cüneyd; Gezici, Sinan (IEEE, 2020)The problem of simple M-ary hypothesis testing under a generic performance criterion that depends on arbitrary functions of error probabilities is considered. Using results from convex analysis, it is proved that an optimal ... -
Optimal fractional fourier filtering for graph signals
Öztürk, Cüneyd; Özaktaş, Haldun M.; Gezici, Sinan; Koç, Aykut (IEEE, 2021-05-19)Graph signal processing has recently received considerable attention. Several concepts, tools, and applications in signal processing such as filtering, transforming, and sampling have been extended to graph signal processing. ...