The Monte-Carlo (MC) technique is a traditional solution for a reliable statistical analysis, and in contrast to probabilistic methods, it can account for any complicate model. How...
—In this paper, we study the capacity-achieving input covariance matrices for the jointly-correlated (or the Weichselberger) Rician fading multiple-input multiple-output (MIMO) a...
Chao-Kai Wen, Shi Jin, Kai-Kit Wong, Jung-Chieh Ch...
Detection of space-time clusters is an important function in various domains (e.g., epidemiology and public health). The pioneering work on the spatial scan statistic is often use...
The design of computer architectures requires the setting of multiple parameters on which the final performance depends. The number of possible combinations make an extremely huge ...
Pedro A. Castillo, Antonio Miguel Mora, Juan Juli&...
We present a novel distributed range-free technique called ExPLoIT for estimating geographical location of sensor nodes in mobile sensor networks. ExPLoIT is the rst positioning...
Christophe Baraer, Kaustubh S. Phanse, Johan Nykvi...