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ICASSP
2011
IEEE
14 years 1 months ago
Collaborative sources identification in mixed signals via hierarchical sparse modeling
A collaborative framework for detecting the different sources in mixed signals is presented in this paper. The approach is based on CHiLasso, a convex collaborative hierarchical s...
Pablo Sprechmann, Ignacio Ramírez, Pablo Ca...
ICASSP
2008
IEEE
15 years 4 months ago
Distributed compressed sensing: Sparsity models and reconstruction algorithms using annihilating filter
Consider a scenario where a distributed signal is sparse and is acquired by various sensors that see different versions. Thus, we have a set of sparse signals with both some commo...
Ali Hormati, Martin Vetterli
CORR
2011
Springer
174views Education» more  CORR 2011»
14 years 1 months ago
GPS Signal Acquisition via Compressive Multichannel Sampling
In this paper, we propose an efficient acquisition scheme for GPS receivers. It is shown that GPS signals can be effectively sampled and detected using a bank of randomized corre...
Xiao Li, Andrea Rueetschi, Yonina C. Eldar, Anna S...
ICASSP
2011
IEEE
14 years 1 months ago
On the construction of low-pass filters on the unit sphere
This paper considers the problem of construction of low-pass filters on the unit sphere, which has wide ranging applications in the processing of signals on the unit sphere. We p...
Zubair Khalid, Salman Durrani, Rodney A. Kennedy, ...
ICASSP
2009
IEEE
15 years 4 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