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IEEECGIV
2009
IEEE
15 years 8 months ago
Two Dimensional Compressive Classifier for Sparse Images
The theory of compressive sampling involves making random linear projections of a signal. Provided signal is sparse in some basis, small number of such measurements preserves the ...
Armin Eftekhari, Hamid Abrishami Moghaddam, Massou...
122
Voted
PE
2002
Springer
111views Optimization» more  PE 2002»
15 years 1 months ago
Forwarders vs. centralized server: an evaluation of two approaches for locating mobile agents
This paper evaluates and compares the performance of two approaches for locating an agent in a mobile agent environment. The first approach dynamically creates a chain of forwarde...
Sara Alouf, Fabrice Huet, Philippe Nain
109
Voted
ICASSP
2009
IEEE
15 years 8 months ago
CMOS compressed imaging by Random Convolution
We present a CMOS imager with built-in capability to perform Compressed Sensing coding by Random Convolution. It is achieved by a shift register set in a pseudo-random configurat...
Laurent Jacques, Pierre Vandergheynst, Alexandre B...
SCALESPACE
2007
Springer
15 years 8 months ago
Best Basis Compressed Sensing
This paper proposes an extension of compressed sensing that allows to express the sparsity prior in a dictionary of bases. This enables the use of the random sampling strategy of c...
Gabriel Peyré
142
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ECMAST
1998
Springer
118views Multimedia» more  ECMAST 1998»
15 years 6 months ago
Error-Robustness of Polar Contour-Coding
For communication using digital video, compression is mandatory because of the high bit-rate requiring a large bandwidth or storage capacity. Recent developments as well as upcomi...
Frank H. P. Spaan, Reginald L. Lagendijk, Jan Biem...