Compressed sensing (CS) algorithms recover a signal from its under-determined linear measurements via exploiting its structure.
© 2019 Network slicing is a prominent feature of 5G, which allow tenants to rent network and computing virtual resources from one or more Infrastructure Providers (InPs).
Kalman filtering theory [1] has been around for more than two decades and has been the backbone of modern applied stochastic estimation.
We consider the problem of minimizing the sum of a convex function of p >= 1 fractions subject to convex constraints.
TTGR is a Fortran program that solves time-varying partial differential equations on a rectangle.
This paper considers a scheduling problem with component availability constraints in a supply chain consisting of two manufacturing and a merge-intransit facilities.
This paper presents two new clustering techniques based on Extreme Learning Machine (ELM).
In this paper we consider the allocation of traffic and/or servers to independent links (stations), where each link is an Erlang loss system (multiple servers and no additional waiting room).
In this paper we present some analogies between thermodynamics and certain Shannon theory results. We revisit the previously published results that relate notion of energy and information.
HE heterodyne method of frequency comparison requires, except in the case of the comparison of nearly identical frequencies, the generation of harmonics of either the unknown, or of the standard fr
