We address covariance estimation in the sense of minimum mean-squared error (MMSE) when the samples are Gaussian distributed. Specifically, we consider shrinkage methods which are ...
Yilun Chen, Ami Wiesel, Yonina C. Eldar, Alfred O....
Multiple simulation runs using the same simulation model with different values of control parameters usually generate large data sets that capture the variational aspects of the be...
Kresimir Matkovic, Denis Gracanin, Mario Jelovic, ...
Abstract--In this paper we develop a new analytical methodology for the evaluation of the outage probability of cooperative decode-and-forward (DF) automatic-repeat-request (ARQ) r...
Sangkook Lee, Weifeng Su, Stella N. Batalama, John...
In this paper, we propose a new design strategy based on the minimum mean-squared error (MMSE) in closedloop non-regenerative multiple-input multiple-output (MIMO) relaying system...
Abstract--In this paper, we deal with the performance of nonorthogonal Amplify-and-Forward protocols over block-fading channels (BFNAF), where the source retransmits the same data ...
Ioannis Krikidis, John S. Thompson, Steve McLaughl...