coefficient de décalage λ
English translation: offset coefficient λ
| 22:43 Oct 2, 2012 |
| French to English translations [PRO] Mathematics & Statistics | |||||
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|  Selected response from: cc in nyc Local time: 21:59 | ||||
Grading comment
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| Summary of answers provided | ||||
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| 4 | lag |
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| 4 | (λ) Scaling factor |
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| 4 -1 | coeffecient de decalage |
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| 3 | non-centrality parameter λ |
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| 1 | offset coefficient λ |
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| Discussion entries: 2 | |
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Answers
47 mins confidence: 
offset coefficient λ Explanation: I know nothing about this, and may be posting references that you have seen and rejected. :o But here they are: Une première unité d'addition additionne la sortie du dispositif de conversion et un coefficient de décalage, une première unité de multiplication multiplie la sortie de la première unité d'addition et un coefficient de correction de fréquence, une deuxième unité d'addition additionne le signal de position P et la sortie de la première unité de multiplication, et un deuxième dispositif de multiplication multiplie la sortie de l'unité de conversion par un coefficient d'amplitude A. A conversion unit receives a position signal corresponding to the position on the screen one by one or the output of a second addition unit, a first addition unit for adding the output of the conversion means and an offset coefficient, a first multiplication unit for multiplying the output of the first addition unit and a frequency correction coefficient, a second addition unit for adding the position signal P and the output of the first multiplication unit, and a second multiplication means for multiplying the output of the conversion unit by an amplitude coefficient A. http://patents.ic.gc.ca/opic-cipo/cpd/eng/patent/2211354/sum... L'invention concerne un procédé de codage échelonnable de vidéo dans lequel un coefficient de pondération composé d'un coefficient proportionnel et d'un coefficient de décalage et indiquant une variation de la brillance entre une région d'image devant être codée dans une couche supérieure et une région d'image devant être référencée est calculé, un vecteur de mouvement est calculé par l'estimation d'un mouvement par opération du coefficient de pondération et du signal d'image de la région d'image devant être référencée qui est un objet de recherche, une compensation de mouvement est réalisée par opération d'un signal décodé de la région d'image devant être référencée et indiquée par le vecteur de mouvement et du coefficient de pondération, et ainsi un signal de prédiction est généré. A video scalable encoding method calculates a weight coefficient which includes a proportional coefficient and an offset coefficient and indicates brightness variation between an encoding target image region and a reference image region in an upper layer, calculates a motion vector by applying the weight coefficient to an image signal of a reference image region as a search target and executing motion estimation, and generates a prediction signal by applying the weight coefficient to a decoded -signal of a reference image region indicated by the motion vector and executing motion compensation. http://brevets-patents.ic.gc.ca/opic-cipo/cpd/eng/patent/270... |
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2 hrs confidence: peer agreement (net): -1
peer agreement (net): -1coeffecient de decalage Explanation: according to the roots of the Latin language it seems to me that we are talking about a coefficient of de-escalation. it may sound weird and unusual, but within the Latin context (the mother language of French) it would make sense. Example sentence(s):
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8 hrs confidence:
lag Explanation: In https://www.statsoft.com/textbook/time-series-analysis/ we find: "Seasonal dependency (seasonality) is another general component of the time series pattern. The concept was illustrated in the example of the airline passengers data above. It is formally defined as correlational dependency of order k between each i'th element of the series and the (i-k)'th element (Kendall, 1976) and measured by autocorrelation (i.e., a correlation between the two terms); k is usually called the **lag**. If the measurement error is not too large, seasonality can be visually identified in the series as a pattern that repeats every k elements." This is mirrored in their FR website http://www.statsoft.fr/concepts-statistiques/series-chronolo... "Le mouvement saisonnier est une autre des grandes composantes des séries chronologiques. Le concept a été illustré dans l'exemple des passagers aériens présenté précédemment. Formellement, il se définit comme la dépendance dans la corrélation d'ordre k entre chaque élément i de la série et l'élément (ik) (Kendall, 1976) ; il se mesure par l'autocorrélation (c'est-à-dire la corrélation entre les deux termes) ; k est appelé période ou **décalage**. " |
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8 hrs confidence:
(λ) Scaling factor Explanation: In mathematics, a homothety (or homothecy, or homogeneous dilation) is a transformation of an affine space determined by a point S called its center and a nonzero number λ called its ratio, which sends M \mapsto S + \lambda \overrightarrow{SM}, in other words it fixes S, and sends any M to another point N such that the segment SN is on the same line as SM, but scaled by a factor λ.[1] In Euclidean geometry homotheties are the similarities that fix a point and either preserve (if λ > 0) or reverse (if λ < 0) the direction of all vectors. Together with the translations, all homotheties of an affine (or Euclidean) space form a group, the group of homothety-translations. These are precisely the affine transformations with the property that the image of every line L is a line parallel to L. References : - http://www.vlsitechnology.org/html/layout_snapgrid.html http://www.vlsitechnology.org/html/layout_rules.html http://en.wikipedia.org/wiki/Homothetic_transformation |
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9 hrs confidence:
non-centrality parameter λ Explanation: Assuming that this is not the elasticity factor in bond price caclulation http://en.wikipedia.org/wiki/Greeks_(finance)#Lambda I have found this rather good explanation in plain English in a Chi2 distribution, and the unavoidable Wikipedia: Reference: http://www.psycho.uni-duesseldorf.de/aap/projects/gpower/ref... Reference: http://en.wikipedia.org/wiki/Noncentral_chi-squared_distribu... |
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