The DPLMS algorithm, a diffusion network of probabilistic LMS filters, shows lower steady-state error and faster convergence than DSE-LMS, DRVSSLMS, and DLLAD in impulsive-noise simulations.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SP 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Diffusion probabilistic LMS algorithm
The DPLMS algorithm, a diffusion network of probabilistic LMS filters, shows lower steady-state error and faster convergence than DSE-LMS, DRVSSLMS, and DLLAD in impulsive-noise simulations.