A method of `network filtering' has been proposed recently to detect the effects of certain external perturbations on the interacting members in a network. However, with larg...
The recent upsurge of research toward compressive sampling and parsimonious signal representations hinges on signals being sparse, either naturally, or, after projecting them on a...
Georgios B. Giannakis, Gonzalo Mateos, Shahrokh Fa...
We introduce the Multiplicative Update Selector and Estimator (MUSE) algorithm for sparse approximation in underdetermined linear regression problems. Given f = Φα∗ + µ, the ...
Several difficulties arise when testing network security algorithms. First, using network data captured at a router does not guarantee that any instances of the security event of...
Transient Signal Analysis is a digital device testing method that is based on the analysis of voltage transients at multiple test points. In this paper, the power supply transient...