Transient Theoretical Analysis of Diffusion RLS Algorithm for Cyclostationary Colored Inputs - ANR - Agence nationale de la recherche Accéder directement au contenu
Article Dans Une Revue IEEE Signal Processing Letters Année : 2021

Transient Theoretical Analysis of Diffusion RLS Algorithm for Cyclostationary Colored Inputs

Wei Gao
  • Fonction : Auteur
  • PersonId : 1110474
Jie Chen
Cédric Richard

Résumé

Convergence of the diffusion RLS (DRLS) algorithm to steady-state has been extensively studied in the literature, whereas no analysis of its transient convergence behavior has been reported yet. In this letter, we conduct a theoretical analysis of the transient behavior of the DRLS algorithm for cyclostationary colored inputs, in the mean and mean-square error sense. The resulting analytical models allows us to thoroughly investigate the convergence behavior of the algorithm over adaptive networks in such complex scenarios. Simulation results support the accuracy and correctness of the theoretical findings.
Fichier principal
Vignette du fichier
2101.04502.pdf (806.06 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03347277 , version 1 (17-09-2021)

Identifiants

Citer

Wei Gao, Jie Chen, Cédric Richard. Transient Theoretical Analysis of Diffusion RLS Algorithm for Cyclostationary Colored Inputs. IEEE Signal Processing Letters, 2021, 28, pp.1160-1164. ⟨10.1109/LSP.2021.3079845⟩. ⟨hal-03347277⟩
24 Consultations
30 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More