We study the distributed sampling and centralized reconstruction of two correlated signals, modeled as the input and output of an unknown sparse filtering operation. This is akin ...
Ali Hormati, Olivier Roy, Yue M. Lu, Martin Vetter...
Abstract--In this paper, we deal with the problem of constrained code optimization for radar space-time adaptive processing (STAP) in the presence of colored Gaussian disturbance. ...
Antonio De Maio, Silvio De Nicola, Yongwei Huang, ...
The Internet has opened opportunities for efficient on-line trading, and researchers have developed algorithms for various auctions, as well as exchanges for standardized commoditi...
Sensor networks have emerged as a fundamentally new tool for monitoring spatially distributed phenomena. This paper investigates a strategy by which sensor nodes detect and estima...
The aim of this discussion paper is to stimulate (or perhaps to provoke) stronger interactions among theoreticians and practitioners interested in efficient problem solutions. We ...