Tracking the causality between activities in distinct physical locations plays a critical role in monitoring, analyzing and debugging the behavior of distributed systems.
This work investigates implementing spatial-correlation-information aided feedback in practical multiple-input multiple-output (MIMO) systems.
To facilitate the engineering implementation of a specific detection algorithm for practical MIMO systems, it is important to know how its performance changes with certain system parameters.
In this memorandum, we discuss an implementation of a compression technique for still images that is currently being evaluated as a standard by the International Standards Organization.
In this paper, we explore two techniques, under the existing scan-based built-in self-test (BIST) architectures, for improving the test quality with practically no additional overhead.
Radio frequency radar indoors is gaining traction owing to its promise for extended coverage and device-free operation.
In this paper, we investigate the k-set consensus problem in asynchronous distributed systems.
Estimation of signals from past observations of them corrupted by noise is a classical problem of filtering theory.
We consider a two-person constant sum perfect information game, which was described in 1929 by Emanuel Lasker, the mathematician and world chess champion, who called it whistette.
Level crossing problems have been the subject of much study over the centuries.
