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CDC
2008
IEEE
145views Control Systems» more  CDC 2008»
16 years 1 months ago
Optimal sensor hop selection: Sensor energy minimization and network lifetime maximization with guaranteed system performance
— In this paper we consider state estimation carried over a sensor network. A fusion center forms a local multi-hop tree of sensors and gateways and fuses the data into a state e...
Ling Shi, Karl Henrik Johansson, Richard M. Murray
CDC
2008
IEEE
150views Control Systems» more  CDC 2008»
16 years 1 months ago
On frame and orientation localization for relative sensing networks
We develop a novel localization theory for planar networks of nodes that measure each other’s relative position, i.e., we assume that nodes do not have the ability to perform me...
Giulia Piova, Iman Shames, Baris Fidan, Francesco ...
CEC
2008
IEEE
16 years 1 months ago
Automatic model type selection with heterogeneous evolution: An application to RF circuit block modeling
— Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a cost effe...
Dirk Gorissen, Luciano De Tommasi, Jeroen Croon, T...
ICASSP
2008
IEEE
16 years 1 months ago
Finding needles in noisy haystacks
The theory of compressed sensing shows that samples in the form of random projections are optimal for recovering sparse signals in high-dimensional spaces (i.e., finding needles ...
Rui M. Castro, Jarvis Haupt, Robert Nowak, Gil M. ...
ICIP
2008
IEEE
16 years 1 months ago
Compressed sensing for multi-view tracking and 3-D voxel reconstruction
Compressed sensing(CS) suggests that a signal, sparse in some basis, can be recovered from a small number of random projections. In this paper, we apply the CS theory on sparse ba...
Dikpal Reddy, Aswin C. Sankaranarayanan, Volkan Ce...