Adaptive Demodulation (ADM) is a newly proposed rate-adaptive system which operates without requiring Channel State Information (CSI) at the transmitter (unlike adaptive modulatio...
J. David Brown, Jamshid Abouei, Konstantinos N. Pl...
An important class of continuous Bayesian networks are those that have linear conditionally deterministic variables (a variable that is a linear deterministic function of its pare...
Sensor networks are promising unprecedented levels of access to information about the physical world, in real time. Many areas of human activity are starting to see the benefits ...
— The increasing need of protocol development environments and network performance evaluation tools gives rise to the research of flexible, scalable, and accurate network emulato...
As the interest of the public for new forms of media grows, museums and theme parks select real time Virtual Reality productions as their presentation medium. Based on threedimens...