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ICIP
2005
IEEE
14 years 8 months ago
Sampling schemes for 2-D signals with finite rate of innovation using kernels that reproduce polynomials
In this paper, we propose new sampling schemes for classes of 2-D signals with finite rate of innovation (FRI). In particular, we consider sets of 2-D Diracs and bilevel polygons....
Pancham Shukla, Pier Luigi Dragotti
ICIP
2006
IEEE
14 years 8 months ago
Tomographic Approach for Sampling Multidimensional Signals with Finite Rate of Innovation
Recently, it was shown that it is possible to sample classes of 1D and 2-D signals with finite rate of innovation (FRI) [9, 4, 5, 3, 2, 7]. In particular, in [7], we presented loc...
Pancham Shukla, Pier Luigi Dragotti
ICASSP
2009
IEEE
14 years 1 months ago
Sampling signals with finite rate of innovation in the presence of noise
Recently, it has been shown that it is possible to sample non-bandlimited signals that possess a limited number of degrees of freedom and uniquely reconstruct them from a finite ...
Pier Luigi Dragotti, Felix Homann
ICIP
2006
IEEE
14 years 8 months ago
Distributed Acquisition and Image Super-Resolution Based on Continuous Moments from Samples
Recently, new sampling schemes were presented for signals with finite rate of innovation (FRI) using sampling kernels reproducing polynomials or exponentials [1] [2]. In this pape...
Loïc Baboulaz, Pier Luigi Dragotti
ICIP
2006
IEEE
14 years 8 months ago
Exact Local Reconstruction Algorithms for Signals with Finite Rate of Innovation
Consider the problem of sampling signals which are not bandlimited, but still have a finite number of degrees of freedom per unit of time, such as, for example, piecewise polynomi...
Pier Luigi Dragotti, Martin Vetterli, Thierry Blu