Joint deconvolution and blind source separation on the sphere with an application to radio-astronomy
Signal Processing
2020-09-09 v1
Abstract
Blind source separation is one of the major analysis tool to extract relevant information from multichannel data. While being central, joint deconvolution and blind source separation (DBSS) methods are scarce. To that purpose, a DBSS algorithm coined SDecGMCA is proposed. It is designed to process data sampled on the sphere, allowing large-field data analysis in radio-astronomy.
Cite
@article{arxiv.2009.03606,
title = {Joint deconvolution and blind source separation on the sphere with an application to radio-astronomy},
author = {R. Carloni Gertosio and J. Bobin},
journal= {arXiv preprint arXiv:2009.03606},
year = {2020}
}
Comments
in Proceedings of iTWIST'20, Paper-ID: 03, Nantes, France, December, 2-4, 2020