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78
Voted
ICASSP
2008
IEEE
15 years 4 months ago
2008
IEEE
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 ...
VTC
2007
IEEE
15 years 3 months ago
2007
IEEE
—In this paper, we present a positioning and tracking scheme based on adaptive weighted interpolation and Kalman filtering for wireless sensor networks. The proposed positioning ...
102
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TPDS
2008
14 years 9 months ago
2008
One of the key research issues in wireless sensor networks (WSNs) is how to efficiently deploy sensors to cover an area. In this paper, we solve the k-coverage sensor deployment pr...
102
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ICASSP
2010
IEEE
14 years 4 months ago
2010
IEEE
An image reconstruction algorithm using compressed sensing (CS) with deterministic matrices of second-order ReedMuller (RM) sequences is introduced. The 1D algorithm of Howard et ...
AAAI
2008
14 years 12 months ago
2008
We present a novel method for information-theoretic exploration, leveraging recent work on mapping and localization. We describe exploration as the constrained optimization proble...