We study an online random linear network coding approach for time division duplexing (TDD) channels under Poisson arrivals. We model the system as a bulk-service queue with variabl...
The ability of Compressive Sensing (CS) to recover sparse signals from limited measurements has been recently exploited in computational imaging to acquire high-speed periodic and...
M. Salman Asif, Dikpal Reddy, Petros Boufounos, As...
This paper proposes a novel method for handling occluded pixels in stereo images based on a probabilistic voting framework that utilizes a novel support-and-decision process. Occl...
In this paper, we present 2-D direction-adaptive transforms for coding prediction residuals of video. These Direction-Adaptive Residual Transforms (DART) are shown to be more effe...
Robert A. Cohen, Sven Klomp, Anthony Vetro, Huifan...
The advent of general purpose graphics processing units (GPGPU's) brings about a whole new platform for running numerically intensive applications at high speeds. Their multi-...
Michela Taufer, Omar Padron, Philip Saponaro, Sand...