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ICASSP
2009
IEEE
15 years 6 months ago
Fast bayesian compressive sensing using Laplace priors
In this paper we model the components of the compressive sensing (CS) problem using the Bayesian framework by utilizing a hierarchical form of the Laplace prior to model sparsity ...
S. Derin Babacan, Rafael Molina, Aggelos K. Katsag...
CISS
2011
IEEE
14 years 3 months ago
Noncoherent compressive sensing with application to distributed radar
—We consider a multi-static radar scenario with spatially dislocated receivers that can individually extract delay information only. Furthermore, we assume that the receivers are...
Christian R. Berger, Josee M. F. Moura
ICASSP
2011
IEEE
14 years 2 months ago
Compressive sensing in through-the-wall radar imaging
High resolution through-the-wall radar imaging (TTWRI) demands wideband signals and large array apertures. Thus a vast amount of measurements is needed for a detailed reconstructi...
Michael Leigsnering, Christian Debes, Abdelhak M. ...
ICASSP
2009
IEEE
15 years 6 months ago
Compressive confocal microscopy
In this paper, a new approach for Confocal Microscopy (CM) based on the framework of compressive sensing is developed. In the proposed approach, a point illumination and a random ...
Peng Ye, José L. Paredes, Gonzalo R. Arce, ...
TSP
2010
14 years 5 months ago
Compressive Sensing on Manifolds Using a Nonparametric Mixture of Factor Analyzers: Algorithm and Performance Bounds
Nonparametric Bayesian methods are employed to constitute a mixture of low-rank Gaussians, for data x RN that are of high dimension N but are constrained to reside in a low-dimen...
Minhua Chen, Jorge Silva, John William Paisley, Ch...