Exact(8)
After the construction procedure of Section 2.2, the gold surface in contact with the solution is divided into 100 × 100 spatial bins.
The bootstrap procedure of Section 3 was used on each of these data sets, resulting in a confidence interval for the AMA.
In order to evaluate the pairwise approach, we executed the feature-based pairwise alignment procedure of Section "Pairwise alignment technique'' on each RI pair of each dataset and counted the number of successful alignments.
To this aim, we have slightly modified the procedure of section 4.3 in such a way that, at each iteration, only one keypoint of each match at a time is manipulated.
Note that the Monte Carlo procedure of Section 4.2 requires to draw only from a few simple Gaussian distributions, which is computationally much cheaper than simulating the complete transmission system.
The detection procedure of Section "Weak-sparseness-based time frequency detection for source recovery (multisource selection)" then makes it possible to avoid this empirical parameter choice, which brings robustness and significant simplification.
More specifically, the weak-sparseness-based time frequency detection procedure of Section "Weak-sparseness-based time frequency detection for source recovery (multisource selection)" can be used as an automatized pre-processing for multisource selection.
Indeed, the statistical procedure of Section "Weak-sparseness-based time frequency detection for source recovery (multisource selection)" is aimed at detecting time frequency points where signal sources are present, whatever the number of these sources, whereas it is now required to discriminate points where one single source is present from points where multiple sources occur.
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