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» On the Processing of Decimated Signals
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91
Voted
ICASSP
2009
IEEE
15 years 7 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
78
Voted
ICASSP
2008
IEEE
15 years 7 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
92
Voted
ICASSP
2007
IEEE
15 years 7 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...
90
Voted
ICASSP
2009
IEEE
15 years 4 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
89
Voted
ICASSP
2010
IEEE
15 years 1 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