Results 221 to 230 of about 561,010 (268)
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Nondetects, Detection Limits, and the Probability of Detection
Journal of the American Statistical Association, 1991Abstract When chemists cannot quantify the concentration in a field sample, they report nondetect instead of a numerical measurement. A data analyst faced with environmental data containing nondetects might assume that all nondetects are zeros, all nondetects are smaller than the smallest detect (numerical measurement), or, if a detection limit is ...
Diane Lambert +2 more
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The probability of target detection
2008 International Radar Symposium, 2008The paper deals with the most interesting problem of the probability of radar target detection. In this paper there are derived probability relations of radar target detection in a covered radar zone for a single-frequency and double-frequency radar sensors. The starting point of the analyses is fluctuations of radar cross section.
Jozef Tkac, Stefan Spirko, Peter Sedivy
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Face detection and tracking in a video by propagating detection probabilities
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003This paper presents a new probabilistic method for detecting and tracking multiple faces in a video sequence. The proposed method integrates the information of face probabilities provided by the detector and the temporal information provided by the tracker to produce a method superior to the available detection and tracking methods.
Verma, Ragini Choudhury +2 more
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Minimising RF Detectability for Low Probability of Detection Communication
2018 Military Communications and Information Systems Conference (MilCIS), 2018This paper describes the need for management of transmission powers in mobile land networks in order to achieve low probability of detection. It explores applicable work in topology control and presents sub-graph search, a localized search method for finding the topology with the lowest detectability footprint.
Benjamin Campbell +4 more
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Analysis of detection probability and some applications
IEEE Transactions on Computers, 1990Test-pattern generation for high fault coverage is an expensive and time-consuming process. As an alternative circuits can be tested by applying random or pseudorandom patterns. To analyze random testing without fault simulation, the number of vectors that detect a fault in each fault class must be enumerated. A fault-detection function whose number of
René David, Kenneth Wagner
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Probability of detection for fluctuating targets
IEEE Transactions on Information Theory, 1960This report considers the probability of detection off a target by a pulsed search radar, when the target has a fluctuating cross section. Formulas for detection probability are derived, and curves off detection probability vs, range are given, for four different target fluctuation models. The investigation shows that, for these fluctuation models, the
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Inclusion of Detection in Probability of Survival Models
Operations Research, 1961The chance for survival in aerial or vehicle-to-vehicle space combat, particularly with guided missiles, would seem to depend in large measure upon the relative ability to detect. But there seems to be few published quantitative studies of how the chance of survival varies with ability to detect.
Dubins, L. E., Morgenthaler, G. W.
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On the probability of error in linear multiuser detection
IEEE Transactions on Information Theory, 2003The problem of determining the bit-error probability in linear multiuser detection analytically is considered. A number of upper and lower bounds are developed, some of which are very tight, and issues of asymptotic behavior, optimality, and Gaussian approximation are explored.
Marat V. Burnashev, H. Vincent Poor
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Probability of error in MMSE multiuser detection
IEEE Transactions on Information Theory, 1997Summary: Performance analysis of the minimum-mean-square-error (MMSE) linear multiuser detector is considered in an environment of nonorthogonal signaling and additive white Gaussian noise. In particular, the behavior of the multiple-access interference (MAI) at the output of the MMSE detector is examined under various asymptotic conditions, including:
Harold Vincent Poor, Sergio Verdú
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Detection Probabilities for Fluctuating Infrared Targets
Applied Optics, 1975Probability density functions for the projected area of a tumbling or precessing target are employed as prior distributions in the derivations of signal plus noise distributions for an ir scanner. The analysis treats several cases for known and unknown pulse arrival times using a matched filter and also an unspecified filter, where the sensor noise is ...
R, Clow, E, Hansen, F, McNolty
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