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The capacity of a particular large Gaussian relay network is determined in the limit as the number of relays tends to infinity. Upper bounds are derived from cut-set arguments, and lower bounds follow from an argument involving uncoded transmission. It is ...
In this article we analyze a subdomain residual error estimator for finite element approximations of elliptic problems. It is obtained by solving local problems on patches of elements in weighted spaces and provides an upper bound on the energy norm of the ...
We study the connectivity and capacity of finite area ad hoc wireless networks, with an increasing number of nodes (dense networks). We find that the properties of the network strongly depend on the shape of the attenuation function. For power law attenuat ...
In this paper, the design of probabilistic observers for mass-balance based bio- process models is investigated. It is assumed that the probability density function of every uncertain parameter, input and/or initial state is known a priori. Then, the proba ...
Given a locally uniform sample set P of a smooth surface S. We derive upper and lower bounds on the number k of nearest neighbors of a sample point p that have to be chosen from P such that this neighborhood contains all restricted Delaunay neighbors of p. ...
This paper establishes tight lower bounds on the time complexity of algorithms solving the generic broadcast problem. Generic broadcast assumes a symmetric, non-reflexive conflict relation on the set of messages, and requires ordered delivery only for conf ...
In this work, we consider four problems in the context of Internet traffic control. The first problem is to understand when and why a sender that implements an equation-based rate control would be TCP-friendly, or not—a sender is said to be TCP-friendly if ...
We determine the capacity of a particular large Gaussian relay network in the limit as the number of relays tends to infinity. The upper bounds follow from a cut-set argument, and the lower bound follows from an argument involving uncoded transmission. We ...
This paper studies the rate distortion behavior of sparse memoryless sources that serve as models of sparse signal representations. For the Hamming distortion criterion, R(D) is shown to be essentially linear. For the mean squared error measure, two mode ...
In this paper, the design of probabilistic observers for mass-balance based bioprocess models is investigated. It is assumed that the probability density of every uncertain parameter, input and/or initial state is known a priori. Then, the probability dens ...