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ICASSP
2008
IEEE
15 years 11 months ago
Subspace compressive detection for sparse signals
The emerging theory of compressed sensing (CS) provides a universal signal detection approach for sparse signals at sub-Nyquist sampling rates. A small number of random projection...
Zhongmin Wang, Gonzalo R. Arce, Brian M. Sadler
142
Voted
ICASSP
2008
IEEE
15 years 11 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. ...
CAAN
2004
Springer
15 years 10 months ago
Bipartite Graphs as Models of Complex Networks
It appeared recently that the classical random graph model used to represent real-world complex networks does not capture their main properties. Since then, various attempts have ...
Jean-Loup Guillaume, Matthieu Latapy
198
Voted
CRYPTO
2003
Springer
187views Cryptology» more  CRYPTO 2003»
15 years 10 months ago
On Constructing Locally Computable Extractors and Cryptosystems in the Bounded Storage Model
We consider the problem of constructing randomness extractors that are locally computable; that is, read only a small number of bits from their input. As recently shown by Lu (thi...
Salil P. Vadhan
ICRA
2000
IEEE
117views Robotics» more  ICRA 2000»
15 years 9 months ago
Kinodynamic Motion Planning Amidst Moving Obstacles
This paper presents a randomized motion planner for kinodynamic asteroidavoidanceproblems, in which a robot must avoid collision with moving obstacles under kinematic, dynamic con...
Robert Kindel, David Hsu, Jean-Claude Latombe, Ste...