Robust diffusion adaptive estimation algorithms based on the maximum correntropy criterion
(MCC), including adapt then combine MCC and combine then adapt MCC, are developed to …

To acquire an improvement of the performance of the subband adaptive filter with impulsive
interference, the normalized subband adaptive filter (NSAF) algorithm-based maximum …

We propose a new variable step-size diffusion least mean square algorithm for distributed
estimation that adaptively adjusts the step-size in every iteration. For a network application …

This paper considers the problem of system parameter estimation using adaptive filter.
Conventional adaptive algorithms will result in degraded performance in the presence of …

A lot of research has been done in the diffusion paradigm for the wireless sensor networks.
However, not enough attention has been given to the incremental strategy. Despite having …

In this study, we propose a multi-agent glowworm swarm optimization (MAGSO) algorithm
for the economic load dispatch (ELD) problem of a large-scale hydropower station. The …

In this paper, we propose a novel diffusion robust variable step-size least mean square
(DRVSS-LMS) algorithm that is insensitive to impulsive noise for distributed estimation in the …

The convergence rate of the diffusion normalized least mean squares (NLMS) algorithm can
be speeded up by decorrelation of signals. However, the diffusion decorrelation NLMS …

We propose a new diffusion least mean squares algorithm that utilizes adaptive gains in the
adaptation stage for the sparse distributed estimation problem. We derive the optimal gains …

Background Rosuvastatin (RSV) is a poorly water-soluble drug that has an absolute oral
bioavailability of only 20%. The aim of this work was to prepare a positively charged …