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, ...
Problems with understanding concepts, so called misconceptions, have been investigated and reported in a number of studies regarding object-oriented programming [4], [3]. In a fi...
Schlumberger RPS successfully applies software measurement to support their software development projects. It is proposed that the success of their measurement practices is mainly...
In this paper, we describe an approach to modelling contextaware systems starting on the knowledge level. We make use of ideas from Activity Theory to structure the general contex...