Nov 16, 2020 10:58
3 yrs ago
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English term

subsampling alias

English to French Tech/Engineering Mathematics & Statistics oil spill modelling
The wind data is generated by interpolating multiple-satellite observations to fill in the temporal and spatial data gaps of individual-satellite samples and reduce the subsampling alias and random errors. The spill model reads spatially and temporally varying winds with values every six hours for the same period as current data

Discussion

Tony M Nov 16, 2020:
@ Orgogozo Definitely not, a very dangerous assumption to make here!
In statistical analysis, subsampling per se is fairly unlikely to cause bias; however, 'aliasing' is a common problem with various types of sampling, in various fields.
orgogozo Nov 16, 2020:
typo pour "bias" ?

Proposed translations

22 hrs
Selected

repliement lié au sous-échantillonnage

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Reference comments

30 mins
Reference:

Wikipedia explanation

Wikipédia

Aliasing: In signal processing and related disciplines, aliasing is an effect that causes different signals to become indistinguishable (or "aliases" of one another) when sampled. en.wikipedia.org

Repliement de spectre>/b>) : Le repli de spectre ("Aliasing" en anglais) est un phénomène qui introduit dans un signal qui module une fréquence porteuse ou dans un signal échantillonné des fréquences qui ne devraient pas s'y trouver, lorsque la fréquence porteuse ou la fréquence d'échantillonnage sont inférieures à deux fois la fréquence maximale contenue dans le signal.

Note that although this talks specifically in the field of electronic sampling, the same principle obtains in statistical sampling too, although the reference to 'spectre' may no longer be relevant. I suspect the use of 'repli' / 'repliement' is all that is needed in this field in FR.

This other reference, more related to statistics, may offer some understanding:


Sampling and Aliasing Sampling
www.cs.umd.edu › ~djacobs › CMSC427 › Aliasing

Need smoothing before subsampling to avoid aliasing. Page 14. •14. Slide 27. Lecture 13.
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