Figure 5 - available via license: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Content may be subject to copyright.
Download
View publication
Mean performance metrics over more than 30 realizations as a function of observation parameters. The default values of the parameters are summarized in Section 2.3.2.

Mean performance metrics over more than 30 realizations as a function of observation parameters. The default values of the parameters are summarized in Section 2.3.2.

Source publication
Figure 1: HEALPix discretization of the sphere (source: [13]). Moving...
Figure 2: Example of a Gaussian filterˆHνfilterˆ filterˆHν , with a...
Figure 3: Empirical stabilization. The peak at iteration 101...
Figure 5: Mean performance metrics over more than 30 realizations as a...
Joint deconvolution and unsupervised source separation for data on the sphere
Preprint
Full-text available
  • Dec 2020
Tackling unsupervised source separation jointly with an additional inverse problem such as deconvolution is central for the analysis of multi-wavelength data. 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 dedic...
Cite
Download full-text

Context in source publication

Context 1
... each point, the algorithms are executed 30 times with varying sources, mixing matrices and noise realization. The mean performance metrics are reported in Figure 5. The NMSE achieved by SDecGMCA is close to the oracle; the loss is typically of 1 dB. ...