Abstract-- Multimode precoding, where the number of independent data-streams is adapted optimally, can be used to maximize the achievable throughput in multi-antenna communication ...
Vasanthan Raghavan, Venugopal V. Veeravalli, Akbar...
In this paper, we investigate temporal and spatial correlations of time series of unwanted traffic (i.e., darknet or network telescope traffic) in order to estimate statistical beh...
Spatial correlation among received signals has a significant impact on the performance of a multipleinput multiple-output (MIMO) system. In prior research, expressions were derived...
A prominent functionality of a Wireless Sensor Network (WSN) is environmental monitoring. For this purpose the WSN creates a model for the real world by using abstractions to pars...
In this paper, we present an approved linear-time algorithm for statistical leakage analysis in the present of any spatial correlation condition (strong or weak). The new algorith...
The finite element method is widely used for solving various problems in geotechnical engineering practice. The input parameters required for the calculations are generally impre...
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
Consider spatial data consisting of a set of binary features taking values over a collection of spatial extents (grid cells). We propose a method that simultaneously finds spatia...
State of the art statistical timing analysis (STA) tools often yield less accurate results when timing variables become correlated. Spatial correlation and correlation caused by p...
—The realistic performance of a multi-input multi-output (MIMO) communication system depends strongly on the spatial correlation properties introduced by clustering in the propag...