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» On the Processing of Decimated Signals
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ICASSP
2009
IEEE
14 years 4 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
ICASSP
2008
IEEE
14 years 3 months ago
Signal masking in Gaussian channels
We consider the problem of modifying the noise properties of a channel in order to make the source as indecipherable as possible given the output. Applications include jamming com...
John A. Quinn, Christopher K. I. Williams
ICASSP
2007
IEEE
14 years 3 months ago
MEG Signal Denoising Based on Time-Shift PCA
We present a method for removing environmental noise from physiological recordings such as Magnetoencephalography (MEG) for which noise-sensitive reference channels are available....
Alain de Cheveigné, Jonathan Le Roux, Jonat...
ICASSP
2009
IEEE
14 years 1 months ago
Detection of sparse signals under finite-alphabet constraints
In this paper, we solve the problem of detecting the entries of a sparse finite-alphabet signal from a limited amount of data, for instance obtained by compressive sampling. While...
Zhi Tian, Geert Leus, Vincenzo Lottici
ICASSP
2010
IEEE
13 years 9 months ago
Graph-based regularization for spherical signal interpolation
This paper addresses the problem of the interpolation of 2-d spherical signals from non-uniformly sampled and noisy data. We propose a graph-based regularization algorithm to impr...
Tamara Tosic, Tamara Frossard