In cognitive radio, one of the main challenges is wideband spectrum sensing. Existing spectrum sensing techniques are based on a set of observations sampled by an …
Cyber-physical systems (CPSs) have quickly become one of the hottest computer applications today. With their tight integration of cyber and physical objects, it is believed …
Dynamic recursive recovery of a spatially sparse signal from compressed measurements has received a lot of attention recently. For example, Kalman filtered compressed sensing …
D Roy - 2000 IEEE International Conference on Acoustics …, 2000 - ieeexplore.ieee.org
We are developing a system which learns words from co-occurring spoken and visual input. The goal is to automatically segment continuous speech at word boundaries without a …
TVT Duong, DQ Tran - journal of communications and networks, 2015 - ieeexplore.ieee.org
Predicting locations of users with portable devices such as IP phones, smart-phones, iPads and iPods in public wireless local area networks (WLANs) plays a crucial role in location …
F Salahdine - arXiv preprint arXiv:1802.03674, 2018 - arxiv.org
A cognitive radio system has the ability to observe and learn from the environment, adapt to the environmental conditions, and use the radio spectrum more efficiently. It allows …
G Wang, K Pham, E Blasch, TM Nguyen… - 2014 IEEE Military …, 2014 - ieeexplore.ieee.org
Engineering systems rely on robust, continuous, and resilient communications. To ensure robustness, communication systems should operate in situations of intentional interference …
CA Berdanier, Z Wu - 2013 IEEE Radar Conference …, 2013 - ieeexplore.ieee.org
Localization of unknown radio frequency (RF) transmitters is useful for a variety of applications such as clutter cancelation, cognitive radio, cognitive radar, bistatic and …
Y Li, K Xie, X Wang - … Conference on Mobile Ad Hoc and …, 2015 - ieeexplore.ieee.org
Measurement samples are often taken in various monitoring applications. To reduce the sensing cost, it is desirable to achieve better sensing quality while using fewer samples …