Results 211 to 220 of about 545,174 (258)
Bacterial Community Patterns Across the Whole-Plant Continuum of <i>Ormosia microphylla</i> in Diverse Habitats. [PDF]
MicroorganismsLi L +5 more
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A model free cascade control for backlash compensation in multi drive systems. [PDF]
Sci RepHoseinifard SM +3 more
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Exploratory Evaluation of a Sodium Iodide-Based Root Canal Filling Formulation in a Canine Model of <i>Enterococcus faecalis</i>-Induced Periapical Inflammation. [PDF]
PharmaceuticsJun S +7 more
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A Two-Visit Pulpotomy Approach for the Management of Uncontrolled Bleeding in a Crown-Root Fractured Immature Incisor: A Case Report. [PDF]
Dent J (Basel)Jungbluth H, Jepsen S, Schneider CY.
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Root high-order cumulant MUSIC
Digital Signal Processing, 2022Abstract The ( p , q )th order circularity and non-circularity of non-Gaussian signals are developed for the first time in this paper. The polynomial rooting implementation of the high-order cumulant based multiple signal classification (MUSIC) methods are then investigated, concentrating on the direction-of-arrival estimation of the ( p ...
Yaxing Yue, Yougen Xu, Zhiwen Liu
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Clustering Rooted Ordered Trees
2007 IEEE Symposium on Computational Intelligence and Data Mining, 2007Tree structures have gained popularity for storing data from different domains such as XML documents, bio informatics and so on. Clustering these data can facilitate different operations. In this paper, we propose TreeCluster, a novel and heuristic algorithm for clustering tree structured data.
Mostafa Haghir Chehreghani +3 more
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Circuits Systems and Signal Processing, 2000
In direction finding MUSIC (multiple signal classification) is used in different versions. In certain situations second-order algorithms perform well, whereas in other cases higher-order methods should be preferred. That's why the authors propose the combination of these methods to obtain optimal performance in the case of unknown signal properties. In
Gershman, Alex B., Messer, Hagit
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In direction finding MUSIC (multiple signal classification) is used in different versions. In certain situations second-order algorithms perform well, whereas in other cases higher-order methods should be preferred. That's why the authors propose the combination of these methods to obtain optimal performance in the case of unknown signal properties. In
Gershman, Alex B., Messer, Hagit
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On the convergence and roots of order-statistics filters
IEEE Transactions on Signal Processing, 1995We propose a comprehensive theory of the convergence and characterization of roots of order-statistics filters. Conditions for the convergence of iterations of order-statistics filters are proposed. Criteria for the morphological characterization of roots of order-statistics filters are also proposed. >
Mohammed Charif-Chefchaouni +1 more
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