Integrating and relating heterogeneous data using inference is one of the cornerstones of semantic technologies and there are a variety of ways in which this may be achieved.
We study the fundamental energy consumption of fiber-optic communications links.
In this paper we present an MIMO detection algorithm, focusing on large-scale MIMO system.
This paper examines near capacity performance of Markov Chain Monte Carlo (MCMC) detectors for multipleinput and multiple-output (MIMO) channels.
We study the effect of surrounding electrically small, top-loaded, electric-dipole antennas with a thin shell of high-permeability magnetic material.
This paper presents an extension of the vertical Bell Laboratories Layered Space-Time (V-BLAST) architecture in which the closed-loop multiple-input multiple-output (MIMO) capacity can be approache
We investigate an encoding scheme for lossy compression of a binary symmetric source based on simple spatially coupled Low-Density Generator-Matrix codes.
We investigate a Bayesian approach to multiple hpothesis testing for hidden Markov sources, whose statistics are given empirically by training data.
We consider the Gaussian diamond or parallel relay network, in which a source node transmits a message to a destination node with the help of N relays.
We consider the problem of the two-user multiple-input single-output complex Gaussian Broadcast Channel where the transmitter has access to delayed knowledge of the channel state information.
