—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...
We explore a computationally efficient method of simulating realistic networks of neurons introduced by Knight, Manin, and Sirovich (1996) in which integrate-and-fire neurons are ...
Error Subspace Statistical Estimation (ESSE), an uncertainty prediction and data assimilation methodology employed for real-time ocean forecasts, is based on a characterization an...
Constantinos Evangelinos, Pierre F. J. Lermusiaux,...
We present a design tool for automated synthesis of embedded systems on distributed COTS-based platforms. Our synthesis tool consists of (1) a graphical user interface for input o...
Dong-In Kang, Richard Gerber, Leana Golubchik, Jef...
We present a reduction of a large-scale network model of visual cortex developed by McLaughlin, Shapley, Shelley, and Wielaard. The reduction is from many integrate-and-fire neuron...