Abstract: This study proposes a novel distributed online gradient descent algorithm incorporating a time-decaying forgetting-factor (FF) mechanism. The core innovation lies in introducing a ...

Abstract: The step-size in the Filtered-x Least Mean Square (FxLMS) algorithm significantly impacts the algorithm's convergence speed and steady-state error. To ...