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More precisely, RSS measurements are collected off-line at some known locations in the area and then stored in a signature map.

The signature map is built in a noise free case, following the model (1), where we set P t −P L=−50 and n=2.5.

The unknown location can then be obtained on-line from the current RSS measurements, which are compared with those in the signature map.

RSS-fingerprinting consists in creating a signature map (or dictionary) that represents the RPs of (mathcal {A}) and then comparing RSS measurements with such fingerprints.

RSS-based techniques however are more efficient if combined with fingerprinting [8], which is a map-based approach that consists in creating a signature map in order to represent the physical space capturing the variations of the dynamic nature of the indoor radio propagation.

More precisely, we consider the signature map Ψ exactly as defined in (3), but we look at it organized in blocks according to the rows of the discretization grid: The first block Ψ[1] corresponds to the first row of the grid and thus it consists in the first C columns of Ψ, as defined in (3), where C is the total number of columns of the grid.

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Similar(45)

Among them are lithographs by Mr. Johns, mostly from the 1960s, with his signature maps and flags.

Note that the 70-gene signature mapped to only 57 genes (CleanEx release of the 3rd September 2007).

Results of signature mapping via RACE indicate that many signatures result from sequence variants of individual genes.

Selection signature mapping applied to livestock with similarly strong selection but shorter generation intervals could be even more powerful.

The locus specific permutation based integrated haplotype score provides a formal test of significance in selection signature mapping.

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