1,722,057 research outputs found
Author Correction: Performance of the comprehensive nutrition screening index in predicting mortality after cardiac surgery
No full textDetuning factors in the synthesis of optical fiber gratings using the Gel'fand-Levitan-Marchenko inverse scattering method
No full textRank-based detection of weak random signals in a multiplicative noise model
No full textMultiplicative noise is known to be useful in modeling some environment, which is difficult to describe by additive noise model. In this paper, nonparametric detection of weak random signals in multiplicative noise is considered. The locally optimum detector based on signs and ranks of observations is derived for good weak-signal detection performance under any noise probability density function. The detector has similarities to the locally optimum detector for random signals in multiplicative noise. It is shown that the nonparametric detector asymptotically has almost the same performance as the locally optimum detector. (C) 1997 Published by Elsevier Science B.V.Korea Research Foundation (KRF), Korea, under a grant for Faculty Research Abroad and the Natural Sciences and Engineering Research Council (NSERC), Canad
Asymptotic performance of a user detection scheme in Nakagami interference
No full textDetection of the existence of a desired user is considered in this paper. We assume that the signal to noise ratio is high enough to ignore the effects of noise compared with those of the interference by other users. The inter-user interference and user signals are modeled by the Nakagami model. We observation model for this situation is proposed, the locally optimum test statistic is derived under the model, and the asymptotic performance of the test statistic is compared with that of the envelope detector. We show that the locally optimum detector has performance better than the conventional envelope detector. (C) 1997 Published by Elsevier Science B.V.Ministry of Information and Communication (MIC) under grant from the University Basic Research Fund
Locally optimum rank detector test statistics for composite signals in generalized observations: One-sample case
No full textThe one-sample locally optimum rank detector test statistics for composite signals in multiplicative and signal-dependent noise are obtained. Since the one-sample locally optimum rank detector makes use of the sign statistics of observations as well as the rank statistics, both 'even' and 'odd' score functions have to he considered. Although the one-sample locally optimum rank detector requires two score functions while the two-sample detector requires only one score function, the one-sample detector requires fewer calculations since it has to rank fewer observations.Korea Science and Engineering Foundation (KOSEF) under Grant R01-2000-0025
On rank-based non-parametric detection of composite signals in purely additive noise
No full textIn this paper, rank-based detection of composite signals in additive noise is considered. Based on signs and ranks of observations, the locally optimum detector is derived for weak-signal detection. This detector has similarities to the locally optimum detector for composite signals in additive noise. The asymptotic performance of this detector is shown to be as good as that of the locally optimum detector, (C) 1997 Elsevier Science B,V.Korea Science and Engineering Foundation (KOSEF) under grant 961-0923-134-
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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