This research considers the ranking and selection (R&S) problem of selecting the optimal subset from a finite set of alternative designs. Given the t…

Dynamic spectrum access is a new paradigm of secondary spectrum utilization and sharing. It allows unlicensed secondary users (SUs) to exploit opport…

This paper considers the distributed consensus problem of linear multi-agent systems subject to different matching uncertainties for both the cases w…

We consider a Krylov subspace approximation method for the symmetric differential Riccati equation $\dot{X} = AX + XA^T + Q - XSX$, $X(0)=X_0$. The m…

We present a powerful and easy-to-implement iterative algorithm for solving large-scale optimization problems that involve $L_1$/total-variation (TV)…

Collaborative signal processing and sensor deployment have been among the most important research tasks in target tracking using networked sensors. I…

The definition of partial differential equation (PDE) models usually involves a set of parameters whose values may vary over a wide range. The soluti…

The purpose of this work is to generalize the frozen Gaussian approximation (FGA) theory to solve the 3-D elastic wave equation and use it as the for…

We present a Kalman smoothing framework based on modeling errors using the heavy tailed Student's t distribution, along with algorithms, convergence …

In these lectures we give an overview of the duality between gravitational theories of massless higher spin fields in AdS and large N vector models. …

In this paper, we consider the problem of identifying a linear map from measurements which are subject to intermittent and arbitarily large errors. T…

The Gray-Scott (GS) model represents the dynamics and steady state pattern formation in reaction-diffusion systems and has been extensively studied i…

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