DESIGN OF SELECTIVE DETECTOR FOR DISTRIBUTED TARGETS THROUGH STOCHASTIC CHARACTERISTIC OF THE FICTITIOUS SIGNAL

Design of Selective Detector for Distributed Targets Through Stochastic Characteristic of the Fictitious Signal

We investigate the problem of detecting the distributed targets buried in the Gaussian noise whose covariance matrix is Stash Jar unknown when signal mismatch occurs.The idea is to add a fictitious signal under the null hypothesis of the origin detection problem so that when signal mismatch occurs, the fictitious signal captures the mismatched sign

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Convergence analysis of non-matching finite elements for a linear monotone additive Schwarz scheme for semi-linear elliptic problems

In this article, Stash Jar we are interested in the standard finite element approximation method of linear additive Schwarz iterations for a class of semi-linear elliptic problems, for two subdomains, in the context of non-matching grids.More precisely, by means of a uniform convergence result from the study by Lui and a fundamental lemma consistin

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LINEAR SUBSTRUCTURES IN GALAXY CLUSTERS

We propose detailed scheme that is describing the morphology of linear substructures in galaxy clusters.Our base morphological scheme di- vides galaxy clusters using numerical criteria according the parameters: concentration to the cluster center, the presence of linear substructure, Used Skates orientation of images of galaxies, the role of bright

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