Variational Bayesian Approach and Bi-Model for the Reconstruction-Separation of Astrophysics Components

Thomas Rodet 1 Aurélia Fraysse 2 H Ayasso 3
1 Division Signaux - L2S
L2S - Laboratoire des signaux et systèmes : 1289
3 GIPSA-CICS - CICS
GIPSA-DIS - Département Images et Signal
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http://hal.univ-grenoble-alpes.fr/hal-01982489
Contributor : Hacheme Ayasso <>
Submitted on : Tuesday, January 15, 2019 - 4:47:03 PM
Last modification on : Thursday, October 17, 2019 - 12:36:09 PM

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  • HAL Id : hal-01982489, version 1

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Thomas Rodet, Aurélia Fraysse, H Ayasso. Variational Bayesian Approach and Bi-Model for the Reconstruction-Separation of Astrophysics Components. J.-F. Giovannelli; J. Idie. Regularization and Bayesian Methods for Inverse Problems in Signal and Image Processing, Wiley-ISTE, pp.225-249, 2015, 978-1-84821-637-2. ⟨hal-01982489⟩

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