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- W4225296453 abstract "In this paper, we propose a novel clustered multitask diffusion RLS (MT-DRLS) algorithm over network to further improve the performance of its counterpart, the multitask diffusion LMS (MT-DLMS) algorithm. Its transient behavior is investigated, in the mean and mean-square error sense. Simulation results illustrate the significant improvement of the MT-DRLS over the MT-DLMS in terms of convergence rate and steady-state error, as well as the accuracy of the theoretical findings." @default.
- W4225296453 created "2022-05-05" @default.
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- W4225296453 date "2022-05-23" @default.
- W4225296453 modified "2023-09-25" @default.
- W4225296453 title "Transient Analysis of Clustered Multitask Diffusion RLS Algorithm" @default.
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- W4225296453 doi "https://doi.org/10.1109/icassp43922.2022.9746943" @default.
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