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A gradient-like variational Bayesian approach for joint image super-resolution and source separation, application to astrophysical map-making

Hacheme Ayasso, Thomas Rodet, Alain Abergel, Karin Dassas. A gradient-like variational Bayesian approach for joint image super-resolution and source separation, application to astrophysical map-making. In IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2013, Vancouver, BC, Canada, May 26-31, 2013. pages 5830-5834, IEEE, 2013. [doi]

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