Robust Distributed Diffusion Recursive Least Squares Algorithms With Side Information for Adaptive Networks

This work develops robust diffusion recursive least-squares algorithms to mitigate the performance degradation often experienced in networks of agents in the presence of impulsive noise. The first algorithm minimizes an exponentially weighted least-squares cost function subject to a time-dependent c...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	IEEE transactions on signal processing Ročník 67; číslo 6; s. 1566 - 1581
Hlavní autori:	Yu, Yi, Zhao, Haiquan, de Lamare, Rodrigo C., Zakharov, Yuriy, Lu, Lu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 15.03.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Adaptive algorithms Algorithms Atmospheric measurements Complexity theory Computer simulation Convergence dichotomous coordinate-descent diffusion cooperation Distributed algorithms Estimation impulsive noises Least squares Performance degradation recursive least squares algorithms Regression analysis Robustness Signal processing algorithms Symmetric matrices Time dependence
ISSN:	1053-587X, 1941-0476
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!