Browsing by Keywords "Detection"
Now showing items 1-20 of 26
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Comparison of terahertz technologies for detection and identification of explosives
(SPIE, 2014)We present results on the comparison of different THz technologies for the detection and identification of a variety of explosives from our laboratory tests that were carried out in the framework of NATO SET-193 THz ... -
Convexity properties of detection probability for noncoherent detection of a modulated sinusoidal carrier
(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 ... -
Detection of underdeveloped hazelnuts from fully developed nuts by impact acoustics
(American Society of Agricultural and Biological Engineers, 2006)Shell-to-kernel weight ratio is a vital measurement of quality in hazelnuts as it helps to identify nuts that have underdeveloped kernels. Nuts containing underdeveloped kernels may contain mycotoxin-producing molds, which ... -
The effect of context-dependent lightness on contrast detection and identification, and its neural correlates
(Bilkent University, 2017-11)Perceived contrast of a grating varies with its background (or mean) luminance: of the two gratings with the same photometric contrast the one on higher luminance background appears to have higher contrast. On the other ... -
Ghostware and rootkit detection techniques for windows
(Bilkent University, 2006)Spyware is a significant problem for most computer users. In public, the term spyware is used with the same meaning as adware, a kind of malicious software used for showing advertisements to the user against his will. ... -
Joint detection and decoding in the presence of prior information with uncertainty
(Institute of Electrical and Electronics Engineers Inc., 2016)An optimal decision framework is proposed for joint detection and decoding when the prior information is available with some uncertainty. The proposed framework provides tradeoffs between the average inclusive error ... -
Noise benefits in joint detection and estimation problems
(Elsevier, 2016)Adding noise to inputs of some suboptimal detectors or estimators can improve their performance under certain conditions. In the literature, noise benefits have been studied for detection and estimation systems separately. ... -
Noise benefits in joint detection and estimation systems = Birlikte sezim ve kestirim sistemlerinde gürültünün faydaları
(Bilkent University, 2014)Adding noise to inputs of some suboptimal detectors or estimators can improve their performance under certain conditions. In the literature, noise benefits have been studied for detection and estimation systems separately. ... -
Noise enhanced detection in restricted Neyman-Pearson framework
(Bilkent University, 2013)Hypothesis tests frequently arise in many different engineering problems. Among the most frequently used tests are Bayesian, minimax, and Neyman-Pearson. Even though these tests are capable of addressing many real-life ... -
Noise enhanced detection in the restricted Bayesian framework
(2010)Effects of additive independent noise are investigated for sub-optimal detectors according to the restricted Bayes criterion. The statistics of optimal additive noise are characterized. Also, sufficient conditions for ... -
Noise enhanced hypothesis-testing according to restricted Neyman-Pearson criterion
(Academic Press, 2014)Noise enhanced hypothesis-testing is studied according to the restricted Neyman-Pearson (NP) criterion. First, a problem formulation is presented for obtaining the optimal probability distribution of additive noise in the ... -
Noise enhanced M-ary composite hypothesis-testing in the presence of partial prior information
(IEEE, 2010-12-06)In this correspondence, noise enhanced detection is studied for M-ary composite hypothesis-testing problems in the presence of partial prior information. Optimal additive noise is obtained according to two criteria, which ... -
Noise enhancement in joint detection and estimation systems
(IEEE Computer Society, 2014)Adding noise to inputs of some suboptimal detectors or estimators can improve their performance under certain conditions. In this study, a noise enhanced joint detection and estimation system is investigated. Maximization ... -
Noise-enhanced M-ary hypothesis-testing in the minimax framework
(2009)In this study, the effects of adding independent noise to observations of a suboptimal detector are studied for M-ary hypothesis-testing problems according to the minimax criterion. It is shown that the optimal additional ... -
On the improvability and nonimprovability of detection via additional independent noise
(IEEE, 2009-07-28)Addition of independent noise to measurements can improve performance of some suboptimal detectors under certain conditions. In this letter, sufficient conditions under which the performance of a suboptimal detector ... -
On the optimality of likelihood ratio test for prospect theory-based binary hypothesis testing
(Institute of Electrical and Electronics Engineers, 2018)In this letter, the optimality of the likelihood ratio test (LRT) is investigated for binary hypothesis testing problems in the presence of a behavioral decision-maker. By utilizing prospect theory, a behavioral decision-maker ... -
Optimal detector randomization for multiuser communications systems
(IEEE, 2013)Optimal detector randomization is studied for the downlink of a multiuser communications system, in which users can perform time-sharing among multiple detectors. A formulation is provided to obtain optimal signal amplitudes, ... -
Optimal signaling and detector design for M-ary communication systems in the presence of multiple additive noise channels
(Academic Press, 2014-03)An M-ary communication system is considered in which the transmitter and the receiver are connected via multiple additive (possibly non-Gaussian) noise channels, any one of which can be utilized for the transmission of a ... -
Optimal stochastic approaches for signal detection and estimation under inequality constraints
(Bilkent University, 2012)Fundamental to the study of signal detection and estimation is the design of optimal procedures that operate on the noisy observations of some random phenomenon. For detection problems, the aim is to decide among a number ... -
Optimal stochastic signal design and detector randomization in the neyman-pearson framework
(2012)Power constrained on-off keying communications systems are investigated in the presence of stochastic signaling and detector randomization. The joint optimal design of decision rules, stochastic signals, and detector ...
