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CORR
2008
Springer
107views Education» more  CORR 2008»
13 years 5 months ago
Estimating Signals with Finite Rate of Innovation from Noisy Samples: A Stochastic Algorithm
As an example of the recently introduced concept of rate of innovation, signals that are linear combinations of a finite number of Diracs per unit time can be acquired by linear fi...
Vincent Yan Fu Tan, Vivek K. Goyal
ICASSP
2009
IEEE
13 years 9 months ago
Multidimensional signal reconstruction from multichannel acquisition
We provide an analysis of the algorithms necessary for the optimal use of multidimensional signal reconstruction from multichannel acquisition. Firstly, we provide computable cond...
Ka Lung Law, Robert M. Fossum, Minh N. Do
TSP
2008
166views more  TSP 2008»
13 years 5 months ago
Nonuniform Sampling of Periodic Bandlimited Signals
Abstract--Digital processing techniques are based on representing a continuous-time signal by a discrete set of samples. This paper treats the problem of reconstructing a periodic ...
E. Margolis, Yonina C. Eldar
ICASSP
2008
IEEE
13 years 11 months ago
Reconstructing sparse signals from their zero crossings
Classical sampling records the signal level at pre-determined time instances, usually uniformly spaced. An alternative implicit sampling model is to record the timing of pre-deter...
Petros Boufounos, Richard G. Baraniuk
ICASSP
2009
IEEE
14 years 2 days 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