Compressed sensing (CS), also known as compressive sensing, compressive sampling and sparse sampling, is a technique for acquiring and reconstructing a signal ...

Compressed sensing (CS) is a recently introduced signal acquisition framework that goes against the traditional Nyquist sampling paradigm.

This thesis introduces the family of Alpha-Stable distributions as a suitable modeling tool for designing efficient CS algorithms for the sparse representation ...

This thesis introduces the class of heavy-tailed distributions and particularly the family of alpha-Stable distributions as a suitable modeling tool for ...

Tzagkarakis, Georgios (2009, University of Crete (UOC)), Bayesian compressed sensing using alpha-stable distributions. This website has been developed using ...

Dec 15, 2022 · Bayesian compressed sensing combined with dictionary learning can be a new interpolation method for soil properties.

Μία νέα μαθηματική θεωρία προσφέρει το πλαίσιο για την ανάπτυξη νέων μεθόδων δειγματοληψίας σε αντίθεση με την καθιερωμένη τάση. Η συμπιεστική δειγματοληψία (ΣΔ) ...

Abstract—Traditional compressive sensing (CS) primarily as- sumes light-tailed models for the underlying signal and/or noise statistics.

Joint image reconstruction begins with modifying the undersampled k-space data to obtain undersampled k-space representations of vertical and horizontal image ...

To address this problem, this paper exploits the power of symmetric alpha-stable (S α S) distributions to design a robust nonlinear compressive sampling ...