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84
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ICASSP
2009
IEEE
15 years 5 months ago
A simple, efficient and near optimal algorithm for compressed sensing
When sampling signals below the Nyquist rate, efficient and accurate reconstruction is nevertheless possible, whenever the sampling system is well behaved and the signal is well ...
Thomas Blumensath, Mike E. Davies
69
Voted
CORR
2008
Springer
144views Education» more  CORR 2008»
14 years 10 months ago
Iterative Hard Thresholding for Compressed Sensing
Compressed sensing is a technique to sample compressible signals below the Nyquist rate, whilst still allowing near optimal reconstruction of the signal. In this paper we present ...
Thomas Blumensath, Mike E. Davies
90
Voted
ACISICIS
2008
IEEE
15 years 6 days ago
Efficient Projection for Compressed Sensing
Compressed sensing (CS), a joint compression and sensing process, is a emerging field of activity in which the signal is sampled and simultaneously compressed at a greatly reduced...
Vo Dinh Minh Nhat, Duc Vo, Subhash Challa, Sungyou...
74
Voted
ICIP
2002
IEEE
15 years 11 months ago
Rate-distortion optimized image compression using wedgelets
Most wavelet-based image coders fail to model the joint coherent behavior of wavelet coefficients near edges. Wedgelets offer a convenient parameterization for the edges in an ima...
Justin K. Romberg, Michael B. Wakin, Hyeokho Choi,...
EUROPAR
2009
Springer
15 years 2 months ago
Optimal and Near-Optimal Energy-Efficient Broadcasting in Wireless Networks
Abstract. In this paper we propose an energy-efficient broadcast algorithm for wireless networks for the case where the transmission powers of the nodes are fixed. Our algorithm is...
Christos A. Papageorgiou, Panagiotis C. Kokkinos, ...