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TIP
2010
127views more  TIP 2010»
13 years 7 months ago
Bayesian Compressive Sensing Using Laplace Priors
In this paper we model the components of the compressive sensing (CS) problem, i.e., the signal acquisition process, the unknown signal coefficients and the model parameters for ...
S. Derin Babacan, Rafael Molina, Aggelos K. Katsag...
ICMCS
2005
IEEE
103views Multimedia» more  ICMCS 2005»
14 years 2 months ago
Speech Acquisition in Meetings with an Audio-Visual Sensor Array
Close-talk headset microphones have been traditionally used for speech acquisition in a number of applications, as they naturally provide a higher signal-to-noise ratio -needed fo...
Iain McCowan, Maganto Hari Krishna, Daniel Gatica-...
ICASSP
2009
IEEE
14 years 3 months ago
Compressive sampling of pulse trains: Spread the spectrum!
In this paper we consider the problem of sampling far below the Nyquist rate signals that are sparse linear superpositions of shifts of a known, potentially wide-band, pulse. This...
Farid M. Naini, Rémi Gribonval, Laurent Jac...
IGARSS
2010
13 years 6 months ago
A tracking algorithm for GNSS reflected signals on sea surface
The observation of the ocean surface using electromagnetic sources of opportunity (GNSS signals for instance) has been a green research topic for several years. The Global Navigat...
Sarab Tay, Arnaud Coatanhay, Frederic Maussang, Re...
ICASSP
2011
IEEE
13 years 11 days ago
Saturation-robust SAR image formation
The formation of synthetic aperture radar (SAR) images is formulated as an inverse problem, a flexible approach suitable for a variety of acquisition systems and signal models. T...
Dennis Wei, Petros Boufounos