Recent work has demonstrated that using a carefully designed sensing matrix rather than a random one, can improve the performance of compressed sensing. In particular, a welldesign...
Kevin Rosenblum, Lihi Zelnik-Manor, Yonina C. Elda...
Motivated by applications like elections, web-page ranking, revenue maximization etc., we consider the question of inferring popular rankings using constrained data. More specific...
Abstract— We explore an algorithm and methodology for realtime video compression and communication over sensor network. Video is encoded using the address-event representation (A...
Eugenio Culurciello, Joon Hyuk Park, Andreas Savvi...
— This paper presents a method for losslessly compressing multi-channel electroencephalogram signals. The Karhunen-Loeve transform is used to exploit the inter-correlation among ...
Yodchanan Wongsawat, Soontorn Oraintara, T. Tanaka...
We propose an opportunistic channel access scheme for cognitive radio-enabled secondary networks. In our work, we model the channel occupancy due to Primary User (PU) activity as a...