We consider transmitting a source across a pair of independent, nonergodic channels with random states (e.g., slow-fading channels) so as to minimize the average distortion. The ge...
J. Nicholas Laneman, Emin Martinian, Gregory W. Wo...
—This paper suggests a technique for analyzing the performance of checkpointing schemes with task duplication. We show how this technique can be used to derive the average execut...
This paper studies linear prediction algorithms for packet-delay modeling. A detailed examination of the delay traces collected from video streams encoded at different bitrates, s...
This paper presents a new motion estimation algorithm using an adaptive search center predicted from its adjacent blocks, and a non-linear center biased search point pattern. It d...
Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Pri...