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

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https://hal-supelec.archives-ouvertes.fr/hal-00832883
Contributor : Thomas Rodet <>
Submitted on : Tuesday, June 11, 2013 - 3:11:46 PM
Last modification on : Thursday, June 17, 2021 - 3:47:49 AM

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  • HAL Id : hal-00832883, version 1

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H 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. ICASSP 2013 - 38th IEEE International Conference on Acoustics, Speech and Signal Processing, May 2013, Vancouver, Canada. pp.5830-5834. ⟨hal-00832883⟩

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