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» Modeling with a Sense of Purpose
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IAT
2009
IEEE
15 years 4 months ago
Distributed Constraint Optimization for Large Teams of Mobile Sensing Agents
Abstract. A team of mobile sensors can be used for coverage of targets in different environments. The dynamic nature of such an application requires the team of agents to adjust th...
Roie Zivan, Robin Glinton, Katia P. Sycara
ICASSP
2009
IEEE
15 years 4 months ago
Compressive sensing for sparsely excited speech signals
Compressive sensing (CS) has been proposed for signals with sparsity in a linear transform domain. We explore a signal dependent unknown linear transform, namely the impulse respo...
Thippur V. Sreenivas, W. Bastiaan Kleijn
TSP
2010
14 years 4 months ago
Distributed spectrum sensing for cognitive radio networks by exploiting sparsity
Abstract--A cooperative approach to the sensing task of wireless cognitive radio (CR) networks is introduced based on a basis expansion model of the power spectral density (PSD) ma...
Juan Andrés Bazerque, Georgios B. Giannakis
ECOOP
2009
Springer
15 years 10 months ago
Making Sense of Large Heaps
Abstract. It is common for large-scale Java applications to suffer memory problems, whether inefficient designs that impede scalability, or lifetime bugs such as leaks. Making sens...
Nick Mitchell, Edith Schonberg, Gary Sevitsky
GLOBECOM
2007
IEEE
15 years 4 months ago
Sensing Workload Scheduling in Sensor Networks Using Divisible Load Theory
Abstract— This paper presents scheduling strategies for sensing workload in wireless sensor networks using Divisible Load Theory (DLT), which offers a tractable model and realist...
Xiaolin Li, Xinxin Liu, Hui Kang