Search Results for author: Jérôme Bobin

Found 8 papers, 6 papers with code

Semi-Blind Source Separation with Learned Constraints

1 code implementation27 Sep 2022 Rémi Carloni Gertosio, Jérôme Bobin, Fabio Acero

BSS problems being ill-posed, the resolution requires efficient regularization schemes to better distinguish between the sources and yield interpretable solutions.

Disentanglement

Unrolling PALM for sparse semi-blind source separation

1 code implementation ICLR 2022 Mohammad Fahes, Christophe Kervazo, Jérôme Bobin, Florence Tupin

Sparse Blind Source Separation (BSS) has become a well established tool for a wide range of applications - for instance, in astrophysics and remote sensing.

Joint deconvolution and unsupervised source separation for data on the sphere

1 code implementation23 Dec 2020 Rémi Carloni Gertosio, Jérôme Bobin

This becomes highly challenging when applied to large data sampled on the sphere such as those provided by wide-field observations in astrophysics, whose analysis requires the design of dedicated robust and yet effective algorithms.

Recovery of 21 cm intensity maps with sparse component separation

1 code implementation10 Jun 2020 Isabella P. Carucci, Melis O. Irfan, Jérôme Bobin

21 cm intensity mapping has emerged as a promising technique to map the large-scale structure of the Universe.

Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics

A novel method for component separation of extended sources in X-ray astronomy

no code implementations24 May 2019 Adrien Picquenot, Fabio Acero, Jérôme Bobin, Pierre Maggi, Jean Ballet, Gabriel W. Pratt

In high-energy astronomy, spectro-imaging instruments such as X-ray detectors allow investigation of the spatial and spectral properties of extended sources including galaxy clusters, galaxies, diffuse interstellar medium, supernova remnants and pulsar wind nebulae.

High Energy Astrophysical Phenomena Astrophysics of Galaxies Instrumentation and Methods for Astrophysics

Two-pixel polarimetric camera by compressive sensing

no code implementations16 Jun 2017 Julien Fade, Estéban Perrotin, Jérôme Bobin

We propose an original concept of compressive sensing (CS) polarimetric imaging based on a digital micro-mirror (DMD) array and two single-pixel detectors.

Compressive Sensing

NMF with Sparse Regularizations in Transformed Domains

1 code implementation29 Jul 2014 Jérémy Rapin, Jérôme Bobin, Anthony Larue, Jean-Luc Starck

In this article, we show how a sparse NMF algorithm coined non-negative generalized morphological component analysis (nGMCA) can be extended to impose non-negativity in the direct domain along with sparsity in a transformed domain, with both analysis and synthesis formulations.

Sparse and Non-Negative BSS for Noisy Data

1 code implementation26 Aug 2013 Jérémy Rapin, Jérôme Bobin, Anthony Larue, Jean-Luc Starck

In this context, it is fundamental that the sources to be estimated present some diversity in order to be efficiently retrieved.

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