• Aucun résultat trouvé

Stochastic Behavior Analysis of the Gaussian Kernel Least-Mean-Square Algorithm

N/A
N/A
Protected

Academic year: 2021

Partager "Stochastic Behavior Analysis of the Gaussian Kernel Least-Mean-Square Algorithm"

Copied!
16
0
0

Texte intégral

Loading

Figure

Fig. 1. Kernel-based adaptive system identification.
TABLE III
Fig. 2. Theoretical model and Monte Carlo simulation of KLMS for different kernel bandwidths
TABLE VI
+3

Références

Documents relatifs

Pendant les vacances, papa et maman travaillent alors nous allons passer les vacances chez nos grands-parents. Ils habitent à coté

These properties will be used throughout the text, as well as the fact that algebraic functions over Q(z) which are holomorphic at z = 0 are G-functions: this is a consequence

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des

More particularly, we measure the correlation be- tween the ranking of low-, medium-, and high-quality limited-size approximation sets with respect to inverted generational

and the launching, three years later, of WHO's Programme for the Pre- vention of Blindness came the reorientation of strategies away from single-cause prevention

(a) Quantitative RT-PCR analysis of basal expression levels of target genes in 4-week-old non-infected Col-0 plants.. Expression levels were normalized relative to the

In conclusion, we demonstrated that the addition of ion bombardment due to RF biasing of the substrate holder dur- ing the sputter deposition of few-nanometer-thick NbN films

Il est indispensable de contrôler et de maitriser la phase pré analytique dans sa totalité pour ne pas avoir une modification qualitative ou quantitative du paramètre à doser,