TMI
2008
14 years 10 days ago
2008
Abstract--Adaptive imaging systems alter their dataacquisition configuration or protocol in response to the image information received. An adaptive pinhole SPECT system might acqui...
TELSYS
2008
14 years 10 days ago
2008
Increase in the network usage for more and more performance critical applications has caused a demand for tools that can monitor network health with minimum management traffic. Ada...
TCOM
2008
14 years 10 days ago
2008
: Due to correlated fading in frequency hopping (FH) wireless communication systems, it is possible to predict the future channel state information (CSI) for one frequency based on...
SIAMSC
2008
14 years 10 days ago
2008
A multilevel adaptive aggregation method for calculating the stationary probability vector of an irreducible stochastic matrix is described. The method is a special case of the ada...
MMS
2008
14 years 11 days ago
2008
Due to the increasing deployment of conversational real-time applications like VoIP and videoconferencing, the Internet is today facing new challenges. Low end-to-end delay is a vi...
IJRR
2006
14 years 12 days ago
2006
It has been almost two decades since the first globally tracking convergent adaptive controllers were derived for robot with dynamic uncertainties. However, the problem of concurr...
ENTCS
2008
14 years 15 days ago
2008
Emerging architectures such as partially reconfigurable FPGAs provide a huge potential for adaptivity in the area of embedded systems. Since many system functions are only execute...
EAAI
2008
14 years 15 days ago
2008
Adaptive fuzzy control has been an active research area over the last decade and several stable adaptive fuzzy controllers have been proposed in the literature. Such controllers a...
CORR
2010
Springer
14 years 16 days ago
2010
Springer
Adaptive Demodulation (ADM) is a newly proposed rate-adaptive system which operates without requiring Channel State Information (CSI) at the transmitter (unlike adaptive modulatio...
CORR
2010
Springer
14 years 16 days ago
2010
Springer
Solving stochastic optimization problems under partial observability, where one needs to adaptively make decisions with uncertain outcomes, is a fundamental but notoriously diffic...